[R-gregmisc-users] SF.net SVN: r-gregmisc:[1572] trunk/SASxport/tests
Brought to you by:
warnes
Menu
▾
▴
[R-gregmisc-users] SF.net SVN: r-gregmisc:[1572] trunk/SASxport/tests
|
From: <wa...@us...> - 2012-06-21 23:13:17
|
Revision: 1572
http://r-gregmisc.svn.sourceforge.net/r-gregmisc/?rev=1572&view=rev
Author: warnes
Date: 2012-06-21 23:13:08 +0000 (Thu, 21 Jun 2012)
Log Message:
-----------
Standardize file capitalization
Added Paths:
-----------
trunk/SASxport/tests/testUnnamedComponents.Rout.save
Removed Paths:
-------------
trunk/SASxport/tests/TestUnnamedComponents.Rout.save
Deleted: trunk/SASxport/tests/TestUnnamedComponents.Rout.save
===================================================================
--- trunk/SASxport/tests/TestUnnamedComponents.Rout.save 2012-06-21 23:12:34 UTC (rev 1571)
+++ trunk/SASxport/tests/TestUnnamedComponents.Rout.save 2012-06-21 23:13:08 UTC (rev 1572)
@@ -1,2176 +0,0 @@
-
-R version 2.12.0 (2010-10-15)
-Copyright (C) 2010 The R Foundation for Statistical Computing
-ISBN 3-900051-07-0
-Platform: i386-apple-darwin9.8.0/i386 (32-bit)
-
-R is free software and comes with ABSOLUTELY NO WARRANTY.
-You are welcome to redistribute it under certain conditions.
-Type 'license()' or 'licence()' for distribution details.
-
-R is a collaborative project with many contributors.
-Type 'contributors()' for more information and
-'citation()' on how to cite R or R packages in publications.
-
-Type 'demo()' for some demos, 'help()' for on-line help, or
-'help.start()' for an HTML browser interface to help.
-Type 'q()' to quit R.
-
-> library(SASxport)
-
-Loaded SASxport version 1.2.4 (2010-11-11).
-
- Updates and technical support available from Random Technologies, LLC
- <http://random-technologies-llc.com/products/SASxport>
-
- Type `?SASxport' for usage information.
-
->
->
-> ##tests
-> example(read.xport)
-
-rd.xpr> # -------
-rd.xpr> # SAS code to generate test dataset:
-rd.xpr> # -------
-rd.xpr> # libname y SASV5XPT "test2.xpt";
-rd.xpr> #
-rd.xpr> # PROC FORMAT; VALUE race 1=green 2=blue 3=purple; RUN;
-rd.xpr> # PROC FORMAT CNTLOUT=format;RUN; * Name, e.g. 'format', unimportant;
-rd.xpr> # data test;
-rd.xpr> # LENGTH race 3 age 4;
-rd.xpr> # age=30; label age="Age at Beginning of Study";
-rd.xpr> # race=2;
-rd.xpr> # d1='3mar2002'd ;
-rd.xpr> # dt1='3mar2002 9:31:02'dt;
-rd.xpr> # t1='11:13:45't;
-rd.xpr> # output;
-rd.xpr> #
-rd.xpr> # age=31;
-rd.xpr> # race=4;
-rd.xpr> # d1='3jun2002'd ;
-rd.xpr> # dt1='3jun2002 9:42:07'dt;
-rd.xpr> # t1='11:14:13't;
-rd.xpr> # output;
-rd.xpr> # format d1 mmddyy10. dt1 datetime. t1 time. race race.;
-rd.xpr> # run;
-rd.xpr> # data z; LENGTH x3 3 x4 4 x5 5 x6 6 x7 7 x8 8;
-rd.xpr> # DO i=1 TO 100;
-rd.xpr> # x3=ranuni(3);
-rd.xpr> # x4=ranuni(5);
-rd.xpr> # x5=ranuni(7);
-rd.xpr> # x6=ranuni(9);
-rd.xpr> # x7=ranuni(11);
-rd.xpr> # x8=ranuni(13);
-rd.xpr> # output;
-rd.xpr> # END;
-rd.xpr> # DROP i;
-rd.xpr> # RUN;
-rd.xpr> # PROC MEANS; RUN;
-rd.xpr> # PROC COPY IN=work OUT=y;SELECT test format z;RUN; *Creates test2.xpt;
-rd.xpr> # ------
-rd.xpr>
-rd.xpr> # Read this dataset from a local file:
-rd.xpr> ## Not run:
-rd.xpr> ##D w <- read.xport('test2.xpt')
-rd.xpr> ## End(Not run)
-rd.xpr>
-rd.xpr> # Or read a copy of test2.xpt available on the web:
-rd.xpr> host <- 'http://biostat.mc.vanderbilt.edu'
-
-rd.xpr> path <- '/cgi-bin/viewvc.cgi/*checkout*/Hmisc/trunk/tests/test2.xpt'
-
-rd.xpr> url <- paste(host,path,sep="")
-
-rd.xpr> w <- read.xport(url)
-
-rd.xpr> # We can also get the dataset wrapped in a list
-rd.xpr> w <- read.xport(url, as.list=TRUE)
-
-rd.xpr> # And we can ask for the format information to be included as well.
-rd.xpr> w <- read.xport(url, as.list=TRUE, include.formats=TRUE)
-
-rd.xpr> ## Don't show:
-rd.xpr> SASxport:::assert( is.data.frame(w)==FALSE && is.list(w)==TRUE )
-
-rd.xpr> ## End Don't show
-rd.xpr>
-rd.xpr>
-rd.xpr> ## Not run:
-rd.xpr> ##D ## The Hmisc library provides many useful functions for interacting with
-rd.xpr> ##D ## data imported from SAS via read.xport()
-rd.xpr> ##D library(Hmisc)
-rd.xpr> ##D
-rd.xpr> ##D describe(w$test) # see labels, format names for dataset test
-rd.xpr> ##D lapply(w, describe)# see descriptive stats in more detaiil for each variable
-rd.xpr> ##D
-rd.xpr> ##D contents(w$test) # another way to see variable attributes
-rd.xpr> ##D lapply(w, contents)# show contents of individual items in more detail
-rd.xpr> ##D
-rd.xpr> ##D options(digits=7) # compare the following matrix with PROC MEANS output
-rd.xpr> ##D t(sapply(w$z, function(x)
-rd.xpr> ##D c(Mean=mean(x),SD=sqrt(var(x)),Min=min(x),Max=max(x))))
-rd.xpr> ## End(Not run)
-rd.xpr>
-rd.xpr>
-rd.xpr>
-rd.xpr>
-> write.xport(w$test,file="a.xpt") #1.a
-Warning message:
-In write.xport(w$test, file = "a.xpt") :
- Data frame names modified to obey SAS rules
-> lookup.xport("a.xpt") #1.b
-
-SAS xport file
---------------
-Filename: `a.xpt'
-
-Variables in data set `W.TEST':
- dataset name type format flength fdigits iformat iflength ifdigits
- W.TEST RACE character RACE 0 0 0 0
- W.TEST AGE numeric 0 0 0 0
- W.TEST D1 numeric MMDDYY 10 0 0 0
- W.TEST DT1 numeric DATETIME 0 0 0 0
- W.TEST T1 character TIME 0 0 0 0
- label nobs
- 2
- Age at Beginning of Study 2
- 2
- 2
- 2
-
-> (tmp <- read.xport("a.xpt")) #1.c
- RACE AGE D1 DT1 T1
-1 blue 30 2002-03-03 (03 Mar 2002 04:31:02) 11:13:45
-2 31 2002-06-03 (03 Jun 2002 04:42:07) 11:14:13
->
-> b <- w$test
-> write.xport(b,file="a.xpt") #2.a
-> lookup.xport("a.xpt") #2.b
-
-SAS xport file
---------------
-Filename: `a.xpt'
-
-Variables in data set `B':
- dataset name type format flength fdigits iformat iflength ifdigits
- B RACE character RACE 0 0 0 0
- B AGE numeric 0 0 0 0
- B D1 numeric MMDDYY 10 0 0 0
- B DT1 numeric DATETIME 0 0 0 0
- B T1 character TIME 0 0 0 0
- label nobs
- 2
- Age at Beginning of Study 2
- 2
- 2
- 2
-
-> (tmp <- read.xport("a.xpt")) #2.c
- RACE AGE D1 DT1 T1
-1 blue 30 2002-03-03 (03 Mar 2002 04:31:02) 11:13:45
-2 31 2002-06-03 (03 Jun 2002 04:42:07) 11:14:13
->
-> write.xport(test=w$test,file="a.xpt") #3.a
-> lookup.xport("a.xpt") #3.b
-
-SAS xport file
---------------
-Filename: `a.xpt'
-
-Variables in data set `TEST':
- dataset name type format flength fdigits iformat iflength ifdigits
- TEST RACE character RACE 0 0 0 0
- TEST AGE numeric 0 0 0 0
- TEST D1 numeric MMDDYY 10 0 0 0
- TEST DT1 numeric DATETIME 0 0 0 0
- TEST T1 character TIME 0 0 0 0
- label nobs
- 2
- Age at Beginning of Study 2
- 2
- 2
- 2
-
-> (tmp <- read.xport("a.xpt")) #3.c
- RACE AGE D1 DT1 T1
-1 blue 30 2002-03-03 (03 Mar 2002 04:31:02) 11:13:45
-2 31 2002-06-03 (03 Jun 2002 04:42:07) 11:14:13
->
-> write.xport(test=w$test,z=w$z,file="a.xpt") #4.a
-> lookup.xport("a.xpt") #4.b
-
-SAS xport file
---------------
-Filename: `a.xpt'
-
-Variables in data set `TEST':
- dataset name type format flength fdigits iformat iflength ifdigits
- TEST RACE character RACE 0 0 0 0
- TEST AGE numeric 0 0 0 0
- TEST D1 numeric MMDDYY 10 0 0 0
- TEST DT1 numeric DATETIME 0 0 0 0
- TEST T1 character TIME 0 0 0 0
- label nobs
- 2
- Age at Beginning of Study 2
- 2
- 2
- 2
-
-Variables in data set `Z':
- dataset name type format flength fdigits iformat iflength ifdigits label
- Z X3 numeric 0 0 0 0
- Z X4 numeric 0 0 0 0
- Z X5 numeric 0 0 0 0
- Z X6 numeric 0 0 0 0
- Z X7 numeric 0 0 0 0
- Z X8 numeric 0 0 0 0
- nobs
- 100
- 100
- 100
- 100
- 100
- 100
-
-> (tmp <- read.xport("a.xpt")) #4.c
-$test
- RACE AGE D1 DT1 T1
-1 blue 30 2002-03-03 (03 Mar 2002 04:31:02) 11:13:45
-2 31 2002-06-03 (03 Jun 2002 04:42:07) 11:14:13
-
-$z
- X3 X4 X5 X6 X7 X8
-1 0.554809570 0.91026592 0.199472918 0.77819594 0.76480773 0.907832049
-2 0.628906250 0.59507513 0.149382079 0.19969965 0.45795571 0.571611564
-3 0.560180664 0.20155370 0.871071571 0.89158189 0.81783537 0.069788893
-4 0.930175781 0.67952251 0.064709651 0.23829160 0.67566234 0.861676832
-5 0.427307129 0.53496075 0.903572354 0.77109401 0.74774458 0.131040108
-6 0.185058594 0.51981020 0.793640781 0.78736015 0.76898101 0.891668539
-7 0.173126221 0.41728735 0.038577245 0.50426505 0.49957831 0.613314660
-8 0.896362305 0.80392504 0.701412492 0.70635040 0.14863697 0.406764784
-9 0.533935547 0.29961348 0.528317338 0.99510797 0.21445599 0.373646303
-10 0.360412598 0.59865904 0.724511519 0.21542188 0.31943661 0.148101144
-11 0.567138672 0.03009592 0.068136962 0.13866363 0.81119381 0.337979215
-12 0.840698242 0.13869596 0.309818228 0.52551615 0.80671759 0.844569556
-13 0.262084961 0.21521139 0.075481503 0.13430464 0.56954970 0.443899054
-14 0.685424805 0.81032562 0.975597342 0.70753509 0.12778332 0.317631773
-15 0.752197266 0.57752514 0.195447854 0.71567068 0.72801126 0.563829176
-16 0.993896484 0.09662127 0.364689407 0.54199747 0.81191797 0.959635779
-17 0.264099121 0.11393309 0.812418848 0.28320176 0.46030928 0.530359364
-18 0.630615234 0.80165958 0.918073907 0.19114500 0.04715550 0.297804402
-19 0.630126953 0.83771992 0.658738920 0.20772481 0.11557381 0.936940561
-20 0.671508789 0.62512779 0.713715522 0.27031328 0.44528787 0.076310964
-21 0.451599121 0.97465801 0.088417932 0.56017806 0.08855998 0.131952559
-22 0.531616211 0.13582230 0.125990903 0.68861063 0.05864216 0.657296563
-23 0.745361328 0.52416706 0.138287167 0.93139657 0.93634337 0.279499571
-24 0.860229492 0.23535800 0.067773213 0.55205996 0.86140652 0.580399050
-25 0.885864258 0.89300871 0.154446173 0.05930633 0.47589580 0.489967297
-26 0.133148193 0.61039686 0.236988616 0.43535325 0.67330840 0.042648594
-27 0.106369019 0.47435546 0.894045589 0.71908408 0.91220874 0.777561118
-28 0.321899414 0.82515574 0.345769540 0.27898190 0.37587550 0.221321993
-29 0.584350586 0.45017719 0.256426542 0.55128526 0.99790806 0.116743046
-30 0.782714844 0.88925648 0.672125481 0.44156701 0.77192310 0.389772559
-31 0.255737305 0.76892853 0.691356288 0.24103043 0.30677701 0.010585836
-32 0.268127441 0.49482346 0.566317322 0.80006739 0.53679024 0.787674241
-33 0.132080078 0.55090714 0.066530403 0.35998585 0.50696324 0.892336901
-34 0.209716797 0.87050629 0.265810063 0.34237937 0.99317888 0.516304360
-35 0.731567383 0.80692101 0.868052749 0.41159689 0.81571351 0.670747127
-36 0.974731445 0.05395064 0.043045310 0.30307713 0.82485616 0.613199657
-37 0.060417175 0.93399811 0.892186217 0.54169906 0.80318660 0.918251223
-38 0.053512573 0.45821238 0.997252798 0.18699222 0.74571744 0.118700152
-39 0.274291992 0.15809727 0.456446022 0.81648360 0.93111440 0.607009959
-40 0.902587891 0.92125559 0.663786719 0.67212570 0.81908712 0.803353309
-41 0.107711792 0.39496422 0.157332692 0.34387862 0.81230429 0.606811568
-42 0.264343262 0.35475087 0.116596107 0.21385085 0.33521056 0.911987601
-43 0.717773438 0.92168236 0.860613002 0.26366805 0.50917660 0.285974402
-44 0.298767090 0.97046804 0.715277340 0.40017026 0.53598483 0.602097132
-45 0.838989258 0.43197370 0.872493969 0.93329615 0.55644537 0.399561767
-46 0.547485352 0.87380695 0.425328480 0.84611454 0.91989352 0.449281177
-47 0.951660156 0.55768442 0.701688468 0.69816831 0.07641118 0.280890167
-48 0.438110352 0.67539835 0.596034631 0.31697085 0.97244354 0.052248614
-49 0.360046387 0.84610510 0.208412720 0.62072056 0.59479764 0.122431251
-50 0.055969238 0.76994514 0.313554974 0.71819807 0.62459766 0.170687066
-51 0.409973145 0.02636161 0.004133753 0.43609714 0.56356174 0.735989964
-52 0.835083008 0.06974322 0.933788894 0.25459031 0.68429414 0.836456893
-53 0.328552246 0.95790482 0.581586711 0.96089912 0.64085773 0.649938160
-54 0.153930664 0.10510141 0.862072270 0.82662339 0.84238057 0.104127737
-55 0.360107422 0.57847071 0.425726887 0.64190236 0.66252058 0.930490654
-56 0.169525146 0.91843414 0.262370519 0.47529812 0.62708726 0.655481011
-57 0.915771484 0.70346546 0.545828892 0.59429612 0.21518204 0.868149194
-58 0.194366455 0.85970068 0.682605598 0.28758652 0.08545504 0.044229804
-59 0.262573242 0.02926101 0.503761623 0.72549339 0.82246938 0.239758181
-60 0.890747070 0.46807122 0.086424077 0.19262842 0.35845780 0.013044060
-61 0.934326172 0.94439077 0.478865772 0.21141539 0.85893385 0.039905848
-62 0.015239716 0.02890442 0.531706404 0.91962052 0.96377103 0.279689568
-63 0.363159180 0.98267412 0.382022258 0.09035326 0.53721446 0.278258128
-64 0.533203125 0.09129518 0.864049435 0.21085775 0.74247024 0.520784463
-65 0.812866211 0.92549849 0.326250156 0.03063606 0.37242442 0.681011943
-66 0.821655273 0.93953514 0.730109224 0.56800164 0.36850434 0.135115089
-67 0.495239258 0.18656993 0.703959208 0.91950956 0.37737182 0.331145230
-68 0.026271820 0.28924441 0.370986423 0.46839579 0.26069062 0.496386772
-69 0.961181641 0.07934558 0.370282067 0.01009577 0.91984033 0.250117553
-70 0.867187500 0.62807846 0.297433884 0.42768580 0.67836226 0.055045441
-71 0.634155273 0.45481491 0.366012510 0.46006086 0.62342353 0.553148303
-72 0.529907227 0.22573161 0.255918004 0.81299654 0.48340851 0.388373295
-73 0.969482422 0.06762362 0.233285627 0.28913314 0.40695817 0.379425337
-74 0.322631836 0.16369033 0.696140964 0.23542822 0.44133423 0.353194184
-75 0.980957031 0.88483143 0.904902402 0.40588630 0.43244408 0.104077954
-76 0.381713867 0.33405781 0.008811487 0.85152244 0.97412609 0.427583363
-77 0.352050781 0.81973124 0.882616673 0.97839957 0.91734389 0.705771805
-78 0.236816406 0.13472927 0.039259837 0.18197673 0.83403650 0.871165875
-79 0.216461182 0.39390779 0.689487964 0.52816572 0.18237391 0.328639985
-80 0.579467773 0.16152561 0.799306294 0.01943226 0.19664442 0.494486603
-81 0.213165283 0.49794507 0.903515683 0.82634666 0.95104984 0.512989034
-82 0.369934082 0.48608422 0.740175959 0.22198786 0.88631389 0.958679024
-83 0.023796082 0.34724808 0.996114468 0.41663422 0.13658224 0.809843882
-84 0.390930176 0.94919586 0.265328477 0.42259452 0.18362993 0.018595368
-85 0.171417236 0.26409721 0.171493893 0.43668409 0.29935710 0.788430851
-86 0.980102539 0.42689586 0.197483132 0.61358141 0.66990291 0.453710159
-87 0.656982422 0.36696911 0.047739081 0.27451939 0.18052140 0.054421855
-88 0.488464355 0.91196012 0.845107406 0.83929407 0.90409508 0.544446660
-89 0.314025879 0.50865173 0.984073751 0.74795267 0.57416734 0.370512281
-90 0.805297852 0.37908387 0.390562004 0.36959290 0.51052391 0.633604296
-91 0.471252441 0.43228960 0.225722159 0.80595341 0.16973734 0.474416345
-92 0.539428711 0.33449984 0.007872077 0.28196563 0.04201044 0.666856505
-93 0.825561523 0.27042723 0.774102103 0.16982144 0.04986308 0.830708595
-94 0.005760193 0.06863922 0.413105001 0.80787951 0.81871474 0.565592853
-95 0.623413086 0.09422225 0.729800716 0.35120569 0.16269988 0.935669079
-96 0.963989258 0.96828461 0.043478839 0.90069377 0.50886120 0.842695923
-97 0.421020508 0.16918373 0.196973316 0.52296367 0.20205632 0.007268806
-98 0.313354492 0.58946466 0.881128855 0.73021358 0.38516078 0.459060744
-99 0.963256836 0.91588259 0.873051692 0.97309719 0.75135814 0.770613592
-100 0.823852539 0.12452227 0.845681194 0.08775397 0.15969781 0.854058568
-
->
-> write.xport(w$test,w$z,file="a.xpt") #5.a
-Warning message:
-In write.xport(w$test, w$z, file = "a.xpt") :
- Data frame names modified to obey SAS rules
-> lookup.xport("a.xpt") #5.b
-
-SAS xport file
---------------
-Filename: `a.xpt'
-
-Variables in data set `W.TEST':
- dataset name type format flength fdigits iformat iflength ifdigits
- W.TEST RACE character RACE 0 0 0 0
- W.TEST AGE numeric 0 0 0 0
- W.TEST D1 numeric MMDDYY 10 0 0 0
- W.TEST DT1 numeric DATETIME 0 0 0 0
- W.TEST T1 character TIME 0 0 0 0
- label nobs
- 2
- Age at Beginning of Study 2
- 2
- 2
- 2
-
-Variables in data set `W.Z':
- dataset name type format flength fdigits iformat iflength ifdigits label
- W.Z X3 numeric 0 0 0 0
- W.Z X4 numeric 0 0 0 0
- W.Z X5 numeric 0 0 0 0
- W.Z X6 numeric 0 0 0 0
- W.Z X7 numeric 0 0 0 0
- W.Z X8 numeric 0 0 0 0
- nobs
- 100
- 100
- 100
- 100
- 100
- 100
-
-> (tmp <- read.xport("a.xpt")) #5.c
-$w.test
- RACE AGE D1 DT1 T1
-1 blue 30 2002-03-03 (03 Mar 2002 04:31:02) 11:13:45
-2 31 2002-06-03 (03 Jun 2002 04:42:07) 11:14:13
-
-$w.z
- X3 X4 X5 X6 X7 X8
-1 0.554809570 0.91026592 0.199472918 0.77819594 0.76480773 0.907832049
-2 0.628906250 0.59507513 0.149382079 0.19969965 0.45795571 0.571611564
-3 0.560180664 0.20155370 0.871071571 0.89158189 0.81783537 0.069788893
-4 0.930175781 0.67952251 0.064709651 0.23829160 0.67566234 0.861676832
-5 0.427307129 0.53496075 0.903572354 0.77109401 0.74774458 0.131040108
-6 0.185058594 0.51981020 0.793640781 0.78736015 0.76898101 0.891668539
-7 0.173126221 0.41728735 0.038577245 0.50426505 0.49957831 0.613314660
-8 0.896362305 0.80392504 0.701412492 0.70635040 0.14863697 0.406764784
-9 0.533935547 0.29961348 0.528317338 0.99510797 0.21445599 0.373646303
-10 0.360412598 0.59865904 0.724511519 0.21542188 0.31943661 0.148101144
-11 0.567138672 0.03009592 0.068136962 0.13866363 0.81119381 0.337979215
-12 0.840698242 0.13869596 0.309818228 0.52551615 0.80671759 0.844569556
-13 0.262084961 0.21521139 0.075481503 0.13430464 0.56954970 0.443899054
-14 0.685424805 0.81032562 0.975597342 0.70753509 0.12778332 0.317631773
-15 0.752197266 0.57752514 0.195447854 0.71567068 0.72801126 0.563829176
-16 0.993896484 0.09662127 0.364689407 0.54199747 0.81191797 0.959635779
-17 0.264099121 0.11393309 0.812418848 0.28320176 0.46030928 0.530359364
-18 0.630615234 0.80165958 0.918073907 0.19114500 0.04715550 0.297804402
-19 0.630126953 0.83771992 0.658738920 0.20772481 0.11557381 0.936940561
-20 0.671508789 0.62512779 0.713715522 0.27031328 0.44528787 0.076310964
-21 0.451599121 0.97465801 0.088417932 0.56017806 0.08855998 0.131952559
-22 0.531616211 0.13582230 0.125990903 0.68861063 0.05864216 0.657296563
-23 0.745361328 0.52416706 0.138287167 0.93139657 0.93634337 0.279499571
-24 0.860229492 0.23535800 0.067773213 0.55205996 0.86140652 0.580399050
-25 0.885864258 0.89300871 0.154446173 0.05930633 0.47589580 0.489967297
-26 0.133148193 0.61039686 0.236988616 0.43535325 0.67330840 0.042648594
-27 0.106369019 0.47435546 0.894045589 0.71908408 0.91220874 0.777561118
-28 0.321899414 0.82515574 0.345769540 0.27898190 0.37587550 0.221321993
-29 0.584350586 0.45017719 0.256426542 0.55128526 0.99790806 0.116743046
-30 0.782714844 0.88925648 0.672125481 0.44156701 0.77192310 0.389772559
-31 0.255737305 0.76892853 0.691356288 0.24103043 0.30677701 0.010585836
-32 0.268127441 0.49482346 0.566317322 0.80006739 0.53679024 0.787674241
-33 0.132080078 0.55090714 0.066530403 0.35998585 0.50696324 0.892336901
-34 0.209716797 0.87050629 0.265810063 0.34237937 0.99317888 0.516304360
-35 0.731567383 0.80692101 0.868052749 0.41159689 0.81571351 0.670747127
-36 0.974731445 0.05395064 0.043045310 0.30307713 0.82485616 0.613199657
-37 0.060417175 0.93399811 0.892186217 0.54169906 0.80318660 0.918251223
-38 0.053512573 0.45821238 0.997252798 0.18699222 0.74571744 0.118700152
-39 0.274291992 0.15809727 0.456446022 0.81648360 0.93111440 0.607009959
-40 0.902587891 0.92125559 0.663786719 0.67212570 0.81908712 0.803353309
-41 0.107711792 0.39496422 0.157332692 0.34387862 0.81230429 0.606811568
-42 0.264343262 0.35475087 0.116596107 0.21385085 0.33521056 0.911987601
-43 0.717773438 0.92168236 0.860613002 0.26366805 0.50917660 0.285974402
-44 0.298767090 0.97046804 0.715277340 0.40017026 0.53598483 0.602097132
-45 0.838989258 0.43197370 0.872493969 0.93329615 0.55644537 0.399561767
-46 0.547485352 0.87380695 0.425328480 0.84611454 0.91989352 0.449281177
-47 0.951660156 0.55768442 0.701688468 0.69816831 0.07641118 0.280890167
-48 0.438110352 0.67539835 0.596034631 0.31697085 0.97244354 0.052248614
-49 0.360046387 0.84610510 0.208412720 0.62072056 0.59479764 0.122431251
-50 0.055969238 0.76994514 0.313554974 0.71819807 0.62459766 0.170687066
-51 0.409973145 0.02636161 0.004133753 0.43609714 0.56356174 0.735989964
-52 0.835083008 0.06974322 0.933788894 0.25459031 0.68429414 0.836456893
-53 0.328552246 0.95790482 0.581586711 0.96089912 0.64085773 0.649938160
-54 0.153930664 0.10510141 0.862072270 0.82662339 0.84238057 0.104127737
-55 0.360107422 0.57847071 0.425726887 0.64190236 0.66252058 0.930490654
-56 0.169525146 0.91843414 0.262370519 0.47529812 0.62708726 0.655481011
-57 0.915771484 0.70346546 0.545828892 0.59429612 0.21518204 0.868149194
-58 0.194366455 0.85970068 0.682605598 0.28758652 0.08545504 0.044229804
-59 0.262573242 0.02926101 0.503761623 0.72549339 0.82246938 0.239758181
-60 0.890747070 0.46807122 0.086424077 0.19262842 0.35845780 0.013044060
-61 0.934326172 0.94439077 0.478865772 0.21141539 0.85893385 0.039905848
-62 0.015239716 0.02890442 0.531706404 0.91962052 0.96377103 0.279689568
-63 0.363159180 0.98267412 0.382022258 0.09035326 0.53721446 0.278258128
-64 0.533203125 0.09129518 0.864049435 0.21085775 0.74247024 0.520784463
-65 0.812866211 0.92549849 0.326250156 0.03063606 0.37242442 0.681011943
-66 0.821655273 0.93953514 0.730109224 0.56800164 0.36850434 0.135115089
-67 0.495239258 0.18656993 0.703959208 0.91950956 0.37737182 0.331145230
-68 0.026271820 0.28924441 0.370986423 0.46839579 0.26069062 0.496386772
-69 0.961181641 0.07934558 0.370282067 0.01009577 0.91984033 0.250117553
-70 0.867187500 0.62807846 0.297433884 0.42768580 0.67836226 0.055045441
-71 0.634155273 0.45481491 0.366012510 0.46006086 0.62342353 0.553148303
-72 0.529907227 0.22573161 0.255918004 0.81299654 0.48340851 0.388373295
-73 0.969482422 0.06762362 0.233285627 0.28913314 0.40695817 0.379425337
-74 0.322631836 0.16369033 0.696140964 0.23542822 0.44133423 0.353194184
-75 0.980957031 0.88483143 0.904902402 0.40588630 0.43244408 0.104077954
-76 0.381713867 0.33405781 0.008811487 0.85152244 0.97412609 0.427583363
-77 0.352050781 0.81973124 0.882616673 0.97839957 0.91734389 0.705771805
-78 0.236816406 0.13472927 0.039259837 0.18197673 0.83403650 0.871165875
-79 0.216461182 0.39390779 0.689487964 0.52816572 0.18237391 0.328639985
-80 0.579467773 0.16152561 0.799306294 0.01943226 0.19664442 0.494486603
-81 0.213165283 0.49794507 0.903515683 0.82634666 0.95104984 0.512989034
-82 0.369934082 0.48608422 0.740175959 0.22198786 0.88631389 0.958679024
-83 0.023796082 0.34724808 0.996114468 0.41663422 0.13658224 0.809843882
-84 0.390930176 0.94919586 0.265328477 0.42259452 0.18362993 0.018595368
-85 0.171417236 0.26409721 0.171493893 0.43668409 0.29935710 0.788430851
-86 0.980102539 0.42689586 0.197483132 0.61358141 0.66990291 0.453710159
-87 0.656982422 0.36696911 0.047739081 0.27451939 0.18052140 0.054421855
-88 0.488464355 0.91196012 0.845107406 0.83929407 0.90409508 0.544446660
-89 0.314025879 0.50865173 0.984073751 0.74795267 0.57416734 0.370512281
-90 0.805297852 0.37908387 0.390562004 0.36959290 0.51052391 0.633604296
-91 0.471252441 0.43228960 0.225722159 0.80595341 0.16973734 0.474416345
-92 0.539428711 0.33449984 0.007872077 0.28196563 0.04201044 0.666856505
-93 0.825561523 0.27042723 0.774102103 0.16982144 0.04986308 0.830708595
-94 0.005760193 0.06863922 0.413105001 0.80787951 0.81871474 0.565592853
-95 0.623413086 0.09422225 0.729800716 0.35120569 0.16269988 0.935669079
-96 0.963989258 0.96828461 0.043478839 0.90069377 0.50886120 0.842695923
-97 0.421020508 0.16918373 0.196973316 0.52296367 0.20205632 0.007268806
-98 0.313354492 0.58946466 0.881128855 0.73021358 0.38516078 0.459060744
-99 0.963256836 0.91588259 0.873051692 0.97309719 0.75135814 0.770613592
-100 0.823852539 0.12452227 0.845681194 0.08775397 0.15969781 0.854058568
-
->
-> write.xport(w$test,z=w$z,file="a.xpt") #6.a
-> lookup.xport("a.xpt") #6.b
-
-SAS xport file
---------------
-Filename: `a.xpt'
-
-Variables in data set `W.TEST':
- dataset name type format flength fdigits iformat iflength ifdigits
- W.TEST RACE character RACE 0 0 0 0
- W.TEST AGE numeric 0 0 0 0
- W.TEST D1 numeric MMDDYY 10 0 0 0
- W.TEST DT1 numeric DATETIME 0 0 0 0
- W.TEST T1 character TIME 0 0 0 0
- label nobs
- 2
- Age at Beginning of Study 2
- 2
- 2
- 2
-
-Variables in data set `Z':
- dataset name type format flength fdigits iformat iflength ifdigits label
- Z X3 numeric 0 0 0 0
- Z X4 numeric 0 0 0 0
- Z X5 numeric 0 0 0 0
- Z X6 numeric 0 0 0 0
- Z X7 numeric 0 0 0 0
- Z X8 numeric 0 0 0 0
- nobs
- 100
- 100
- 100
- 100
- 100
- 100
-
-> (tmp <- read.xport("a.xpt")) #6.c
-$w.test
- RACE AGE D1 DT1 T1
-1 blue 30 2002-03-03 (03 Mar 2002 04:31:02) 11:13:45
-2 31 2002-06-03 (03 Jun 2002 04:42:07) 11:14:13
-
-$z
- X3 X4 X5 X6 X7 X8
-1 0.554809570 0.91026592 0.199472918 0.77819594 0.76480773 0.907832049
-2 0.628906250 0.59507513 0.149382079 0.19969965 0.45795571 0.571611564
-3 0.560180664 0.20155370 0.871071571 0.89158189 0.81783537 0.069788893
-4 0.930175781 0.67952251 0.064709651 0.23829160 0.67566234 0.861676832
-5 0.427307129 0.53496075 0.903572354 0.77109401 0.74774458 0.131040108
-6 0.185058594 0.51981020 0.793640781 0.78736015 0.76898101 0.891668539
-7 0.173126221 0.41728735 0.038577245 0.50426505 0.49957831 0.613314660
-8 0.896362305 0.80392504 0.701412492 0.70635040 0.14863697 0.406764784
-9 0.533935547 0.29961348 0.528317338 0.99510797 0.21445599 0.373646303
-10 0.360412598 0.59865904 0.724511519 0.21542188 0.31943661 0.148101144
-11 0.567138672 0.03009592 0.068136962 0.13866363 0.81119381 0.337979215
-12 0.840698242 0.13869596 0.309818228 0.52551615 0.80671759 0.844569556
-13 0.262084961 0.21521139 0.075481503 0.13430464 0.56954970 0.443899054
-14 0.685424805 0.81032562 0.975597342 0.70753509 0.12778332 0.317631773
-15 0.752197266 0.57752514 0.195447854 0.71567068 0.72801126 0.563829176
-16 0.993896484 0.09662127 0.364689407 0.54199747 0.81191797 0.959635779
-17 0.264099121 0.11393309 0.812418848 0.28320176 0.46030928 0.530359364
-18 0.630615234 0.80165958 0.918073907 0.19114500 0.04715550 0.297804402
-19 0.630126953 0.83771992 0.658738920 0.20772481 0.11557381 0.936940561
-20 0.671508789 0.62512779 0.713715522 0.27031328 0.44528787 0.076310964
-21 0.451599121 0.97465801 0.088417932 0.56017806 0.08855998 0.131952559
-22 0.531616211 0.13582230 0.125990903 0.68861063 0.05864216 0.657296563
-23 0.745361328 0.52416706 0.138287167 0.93139657 0.93634337 0.279499571
-24 0.860229492 0.23535800 0.067773213 0.55205996 0.86140652 0.580399050
-25 0.885864258 0.89300871 0.154446173 0.05930633 0.47589580 0.489967297
-26 0.133148193 0.61039686 0.236988616 0.43535325 0.67330840 0.042648594
-27 0.106369019 0.47435546 0.894045589 0.71908408 0.91220874 0.777561118
-28 0.321899414 0.82515574 0.345769540 0.27898190 0.37587550 0.221321993
-29 0.584350586 0.45017719 0.256426542 0.55128526 0.99790806 0.116743046
-30 0.782714844 0.88925648 0.672125481 0.44156701 0.77192310 0.389772559
-31 0.255737305 0.76892853 0.691356288 0.24103043 0.30677701 0.010585836
-32 0.268127441 0.49482346 0.566317322 0.80006739 0.53679024 0.787674241
-33 0.132080078 0.55090714 0.066530403 0.35998585 0.50696324 0.892336901
-34 0.209716797 0.87050629 0.265810063 0.34237937 0.99317888 0.516304360
-35 0.731567383 0.80692101 0.868052749 0.41159689 0.81571351 0.670747127
-36 0.974731445 0.05395064 0.043045310 0.30307713 0.82485616 0.613199657
-37 0.060417175 0.93399811 0.892186217 0.54169906 0.80318660 0.918251223
-38 0.053512573 0.45821238 0.997252798 0.18699222 0.74571744 0.118700152
-39 0.274291992 0.15809727 0.456446022 0.81648360 0.93111440 0.607009959
-40 0.902587891 0.92125559 0.663786719 0.67212570 0.81908712 0.803353309
-41 0.107711792 0.39496422 0.157332692 0.34387862 0.81230429 0.606811568
-42 0.264343262 0.35475087 0.116596107 0.21385085 0.33521056 0.911987601
-43 0.717773438 0.92168236 0.860613002 0.26366805 0.50917660 0.285974402
-44 0.298767090 0.97046804 0.715277340 0.40017026 0.53598483 0.602097132
-45 0.838989258 0.43197370 0.872493969 0.93329615 0.55644537 0.399561767
-46 0.547485352 0.87380695 0.425328480 0.84611454 0.91989352 0.449281177
-47 0.951660156 0.55768442 0.701688468 0.69816831 0.07641118 0.280890167
-48 0.438110352 0.67539835 0.596034631 0.31697085 0.97244354 0.052248614
-49 0.360046387 0.84610510 0.208412720 0.62072056 0.59479764 0.122431251
-50 0.055969238 0.76994514 0.313554974 0.71819807 0.62459766 0.170687066
-51 0.409973145 0.02636161 0.004133753 0.43609714 0.56356174 0.735989964
-52 0.835083008 0.06974322 0.933788894 0.25459031 0.68429414 0.836456893
-53 0.328552246 0.95790482 0.581586711 0.96089912 0.64085773 0.649938160
-54 0.153930664 0.10510141 0.862072270 0.82662339 0.84238057 0.104127737
-55 0.360107422 0.57847071 0.425726887 0.64190236 0.66252058 0.930490654
-56 0.169525146 0.91843414 0.262370519 0.47529812 0.62708726 0.655481011
-57 0.915771484 0.70346546 0.545828892 0.59429612 0.21518204 0.868149194
-58 0.194366455 0.85970068 0.682605598 0.28758652 0.08545504 0.044229804
-59 0.262573242 0.02926101 0.503761623 0.72549339 0.82246938 0.239758181
-60 0.890747070 0.46807122 0.086424077 0.19262842 0.35845780 0.013044060
-61 0.934326172 0.94439077 0.478865772 0.21141539 0.85893385 0.039905848
-62 0.015239716 0.02890442 0.531706404 0.91962052 0.96377103 0.279689568
-63 0.363159180 0.98267412 0.382022258 0.09035326 0.53721446 0.278258128
-64 0.533203125 0.09129518 0.864049435 0.21085775 0.74247024 0.520784463
-65 0.812866211 0.92549849 0.326250156 0.03063606 0.37242442 0.681011943
-66 0.821655273 0.93953514 0.730109224 0.56800164 0.36850434 0.135115089
-67 0.495239258 0.18656993 0.703959208 0.91950956 0.37737182 0.331145230
-68 0.026271820 0.28924441 0.370986423 0.46839579 0.26069062 0.496386772
-69 0.961181641 0.07934558 0.370282067 0.01009577 0.91984033 0.250117553
-70 0.867187500 0.62807846 0.297433884 0.42768580 0.67836226 0.055045441
-71 0.634155273 0.45481491 0.366012510 0.46006086 0.62342353 0.553148303
-72 0.529907227 0.22573161 0.255918004 0.81299654 0.48340851 0.388373295
-73 0.969482422 0.06762362 0.233285627 0.28913314 0.40695817 0.379425337
-74 0.322631836 0.16369033 0.696140964 0.23542822 0.44133423 0.353194184
-75 0.980957031 0.88483143 0.904902402 0.40588630 0.43244408 0.104077954
-76 0.381713867 0.33405781 0.008811487 0.85152244 0.97412609 0.427583363
-77 0.352050781 0.81973124 0.882616673 0.97839957 0.91734389 0.705771805
-78 0.236816406 0.13472927 0.039259837 0.18197673 0.83403650 0.871165875
-79 0.216461182 0.39390779 0.689487964 0.52816572 0.18237391 0.328639985
-80 0.579467773 0.16152561 0.799306294 0.01943226 0.19664442 0.494486603
-81 0.213165283 0.49794507 0.903515683 0.82634666 0.95104984 0.512989034
-82 0.369934082 0.48608422 0.740175959 0.22198786 0.88631389 0.958679024
-83 0.023796082 0.34724808 0.996114468 0.41663422 0.13658224 0.809843882
-84 0.390930176 0.94919586 0.265328477 0.42259452 0.18362993 0.018595368
-85 0.171417236 0.26409721 0.171493893 0.43668409 0.29935710 0.788430851
-86 0.980102539 0.42689586 0.197483132 0.61358141 0.66990291 0.453710159
-87 0.656982422 0.36696911 0.047739081 0.27451939 0.18052140 0.054421855
-88 0.488464355 0.91196012 0.845107406 0.83929407 0.90409508 0.544446660
-89 0.314025879 0.50865173 0.984073751 0.74795267 0.57416734 0.370512281
-90 0.805297852 0.37908387 0.390562004 0.36959290 0.51052391 0.633604296
-91 0.471252441 0.43228960 0.225722159 0.80595341 0.16973734 0.474416345
-92 0.539428711 0.33449984 0.007872077 0.28196563 0.04201044 0.666856505
-93 0.825561523 0.27042723 0.774102103 0.16982144 0.04986308 0.830708595
-94 0.005760193 0.06863922 0.413105001 0.80787951 0.81871474 0.565592853
-95 0.623413086 0.09422225 0.729800716 0.35120569 0.16269988 0.935669079
-96 0.963989258 0.96828461 0.043478839 0.90069377 0.50886120 0.842695923
-97 0.421020508 0.16918373 0.196973316 0.52296367 0.20205632 0.007268806
-98 0.313354492 0.58946466 0.881128855 0.73021358 0.38516078 0.459060744
-99 0.963256836 0.91588259 0.873051692 0.97309719 0.75135814 0.770613592
-100 0.823852539 0.12452227 0.845681194 0.08775397 0.15969781 0.854058568
-
->
-> write.xport(list=w,file="a.xpt") #7.a
-> lookup.xport("a.xpt") #7.b
-
-SAS xport file
---------------
-Filename: `a.xpt'
-
-Variables in data set `TEST':
- dataset name type format flength fdigits iformat iflength ifdigits
- TEST RACE numeric RACE 0 0 0 0
- TEST AGE numeric 0 0 0 0
- TEST D1 numeric MMDDYY 10 0 0 0
- TEST DT1 numeric DATETIME 0 0 0 0
- TEST T1 character TIME 0 0 0 0
- label nobs
- 2
- Age at Beginning of Study 2
- 2
- 2
- 2
-
-Variables in data set `Z':
- dataset name type format flength fdigits iformat iflength ifdigits label
- Z X3 numeric 0 0 0 0
- Z X4 numeric 0 0 0 0
- Z X5 numeric 0 0 0 0
- Z X6 numeric 0 0 0 0
- Z X7 numeric 0 0 0 0
- Z X8 numeric 0 0 0 0
- nobs
- 100
- 100
- 100
- 100
- 100
- 100
-
-Variables in data set `FORMATS':
- dataset name type format flength fdigits iformat iflength ifdigits
- FORMATS FMTNAME character 0 0 0 0
- FORMATS START character 0 0 0 0
- FORMATS END character 0 0 0 0
- FORMATS LABEL character 0 0 0 0
- FORMATS MIN numeric 0 0 0 0
- FORMATS MAX numeric 0 0 0 0
- FORMATS DEFAULT numeric 0 0 0 0
- FORMATS LENGTH numeric 0 0 0 0
- FORMATS FUZZ numeric 0 0 0 0
- FORMATS PREFIX character 0 0 0 0
- FORMATS MULT numeric 0 0 0 0
- FORMATS FILL character 0 0 0 0
- FORMATS NOEDIT numeric 0 0 0 0
- FORMATS TYPE character 0 0 0 0
- FORMATS SEXCL character 0 0 0 0
- FORMATS EEXCL character 0 0 0 0
- FORMATS HLO character 0 0 0 0
- FORMATS DECSEP character 0 0 0 0
- FORMATS DIG3SEP character 0 0 0 0
- FORMATS DATATYPE character 0 0 0 0
- FORMATS LANGUAGE character 0 0 0 0
- label nobs
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
-
-> (tmp <- read.xport("a.xpt")) #7.c
-$test
- RACE AGE D1 DT1 T1
-1 blue 30 2002-03-03 (03 Mar 2002 04:31:02) 11:13:45
-2 <NA> 31 2002-06-03 (03 Jun 2002 04:42:07) 11:14:13
-
-$z
- X3 X4 X5 X6 X7 X8
-1 0.554809570 0.91026592 0.199472918 0.77819594 0.76480773 0.907832049
-2 0.628906250 0.59507513 0.149382079 0.19969965 0.45795571 0.571611564
-3 0.560180664 0.20155370 0.871071571 0.89158189 0.81783537 0.069788893
-4 0.930175781 0.67952251 0.064709651 0.23829160 0.67566234 0.861676832
-5 0.427307129 0.53496075 0.903572354 0.77109401 0.74774458 0.131040108
-6 0.185058594 0.51981020 0.793640781 0.78736015 0.76898101 0.891668539
-7 0.173126221 0.41728735 0.038577245 0.50426505 0.49957831 0.613314660
-8 0.896362305 0.80392504 0.701412492 0.70635040 0.14863697 0.406764784
-9 0.533935547 0.29961348 0.528317338 0.99510797 0.21445599 0.373646303
-10 0.360412598 0.59865904 0.724511519 0.21542188 0.31943661 0.148101144
-11 0.567138672 0.03009592 0.068136962 0.13866363 0.81119381 0.337979215
-12 0.840698242 0.13869596 0.309818228 0.52551615 0.80671759 0.844569556
-13 0.262084961 0.21521139 0.075481503 0.13430464 0.56954970 0.443899054
-14 0.685424805 0.81032562 0.975597342 0.70753509 0.12778332 0.317631773
-15 0.752197266 0.57752514 0.195447854 0.71567068 0.72801126 0.563829176
-16 0.993896484 0.09662127 0.364689407 0.54199747 0.81191797 0.959635779
-17 0.264099121 0.11393309 0.812418848 0.28320176 0.46030928 0.530359364
-18 0.630615234 0.80165958 0.918073907 0.19114500 0.04715550 0.297804402
-19 0.630126953 0.83771992 0.658738920 0.20772481 0.11557381 0.936940561
-20 0.671508789 0.62512779 0.713715522 0.27031328 0.44528787 0.076310964
-21 0.451599121 0.97465801 0.088417932 0.56017806 0.08855998 0.131952559
-22 0.531616211 0.13582230 0.125990903 0.68861063 0.05864216 0.657296563
-23 0.745361328 0.52416706 0.138287167 0.93139657 0.93634337 0.279499571
-24 0.860229492 0.23535800 0.067773213 0.55205996 0.86140652 0.580399050
-25 0.885864258 0.89300871 0.154446173 0.05930633 0.47589580 0.489967297
-26 0.133148193 0.61039686 0.236988616 0.43535325 0.67330840 0.042648594
-27 0.106369019 0.47435546 0.894045589 0.71908408 0.91220874 0.777561118
-28 0.321899414 0.82515574 0.345769540 0.27898190 0.37587550 0.221321993
-29 0.584350586 0.45017719 0.256426542 0.55128526 0.99790806 0.116743046
-30 0.782714844 0.88925648 0.672125481 0.44156701 0.77192310 0.389772559
-31 0.255737305 0.76892853 0.691356288 0.24103043 0.30677701 0.010585836
-32 0.268127441 0.49482346 0.566317322 0.80006739 0.53679024 0.787674241
-33 0.132080078 0.55090714 0.066530403 0.35998585 0.50696324 0.892336901
-34 0.209716797 0.87050629 0.265810063 0.34237937 0.99317888 0.516304360
-35 0.731567383 0.80692101 0.868052749 0.41159689 0.81571351 0.670747127
-36 0.974731445 0.05395064 0.043045310 0.30307713 0.82485616 0.613199657
-37 0.060417175 0.93399811 0.892186217 0.54169906 0.80318660 0.918251223
-38 0.053512573 0.45821238 0.997252798 0.18699222 0.74571744 0.118700152
-39 0.274291992 0.15809727 0.456446022 0.81648360 0.93111440 0.607009959
-40 0.902587891 0.92125559 0.663786719 0.67212570 0.81908712 0.803353309
-41 0.107711792 0.39496422 0.157332692 0.34387862 0.81230429 0.606811568
-42 0.264343262 0.35475087 0.116596107 0.21385085 0.33521056 0.911987601
-43 0.717773438 0.92168236 0.860613002 0.26366805 0.50917660 0.285974402
-44 0.298767090 0.97046804 0.715277340 0.40017026 0.53598483 0.602097132
-45 0.838989258 0.43197370 0.872493969 0.93329615 0.55644537 0.399561767
-46 0.547485352 0.87380695 0.425328480 0.84611454 0.91989352 0.449281177
-47 0.951660156 0.55768442 0.701688468 0.69816831 0.07641118 0.280890167
-48 0.438110352 0.67539835 0.596034631 0.31697085 0.97244354 0.052248614
-49 0.360046387 0.84610510 0.208412720 0.62072056 0.59479764 0.122431251
-50 0.055969238 0.76994514 0.313554974 0.71819807 0.62459766 0.170687066
-51 0.409973145 0.02636161 0.004133753 0.43609714 0.56356174 0.735989964
-52 0.835083008 0.06974322 0.933788894 0.25459031 0.68429414 0.836456893
-53 0.328552246 0.95790482 0.581586711 0.96089912 0.64085773 0.649938160
-54 0.153930664 0.10510141 0.862072270 0.82662339 0.84238057 0.104127737
-55 0.360107422 0.57847071 0.425726887 0.64190236 0.66252058 0.930490654
-56 0.169525146 0.91843414 0.262370519 0.47529812 0.62708726 0.655481011
-57 0.915771484 0.70346546 0.545828892 0.59429612 0.21518204 0.868149194
-58 0.194366455 0.85970068 0.682605598 0.28758652 0.08545504 0.044229804
-59 0.262573242 0.02926101 0.503761623 0.72549339 0.82246938 0.239758181
-60 0.890747070 0.46807122 0.086424077 0.19262842 0.35845780 0.013044060
-61 0.934326172 0.94439077 0.478865772 0.21141539 0.85893385 0.039905848
-62 0.015239716 0.02890442 0.531706404 0.91962052 0.96377103 0.279689568
-63 0.363159180 0.98267412 0.382022258 0.09035326 0.53721446 0.278258128
-64 0.533203125 0.09129518 0.864049435 0.21085775 0.74247024 0.520784463
-65 0.812866211 0.92549849 0.326250156 0.03063606 0.37242442 0.681011943
-66 0.821655273 0.93953514 0.730109224 0.56800164 0.36850434 0.135115089
-67 0.495239258 0.18656993 0.703959208 0.91950956 0.37737182 0.331145230
-68 0.026271820 0.28924441 0.370986423 0.46839579 0.26069062 0.496386772
-69 0.961181641 0.07934558 0.370282067 0.01009577 0.91984033 0.250117553
-70 0.867187500 0.62807846 0.297433884 0.42768580 0.67836226 0.055045441
-71 0.634155273 0.45481491 0.366012510 0.46006086 0.62342353 0.553148303
-72 0.529907227 0.22573161 0.255918004 0.81299654 0.48340851 0.388373295
-73 0.969482422 0.06762362 0.233285627 0.28913314 0.40695817 0.379425337
-74 0.322631836 0.16369033 0.696140964 0.23542822 0.44133423 0.353194184
-75 0.980957031 0.88483143 0.904902402 0.40588630 0.43244408 0.104077954
-76 0.381713867 0.33405781 0.008811487 0.85152244 0.97412609 0.427583363
-77 0.352050781 0.81973124 0.882616673 0.97839957 0.91734389 0.705771805
-78 0.236816406 0.13472927 0.039259837 0.18197673 0.83403650 0.871165875
-79 0.216461182 0.39390779 0.689487964 0.52816572 0.18237391 0.328639985
-80 0.579467773 0.16152561 0.799306294 0.01943226 0.19664442 0.494486603
-81 0.213165283 0.49794507 0.903515683 0.82634666 0.95104984 0.512989034
-82 0.369934082 0.48608422 0.740175959 0.22198786 0.88631389 0.958679024
-83 0.023796082 0.34724808 0.996114468 0.41663422 0.13658224 0.809843882
-84 0.390930176 0.94919586 0.265328477 0.42259452 0.18362993 0.018595368
-85 0.171417236 0.26409721 0.171493893 0.43668409 0.29935710 0.788430851
-86 0.980102539 0.42689586 0.197483132 0.61358141 0.66990291 0.453710159
-87 0.656982422 0.36696911 0.047739081 0.27451939 0.18052140 0.054421855
-88 0.488464355 0.91196012 0.845107406 0.83929407 0.90409508 0.544446660
-89 0.314025879 0.50865173 0.984073751 0.74795267 0.57416734 0.370512281
-90 0.805297852 0.37908387 0.390562004 0.36959290 0.51052391 0.633604296
-91 0.471252441 0.43228960 0.225722159 0.80595341 0.16973734 0.474416345
-92 0.539428711 0.33449984 0.007872077 0.28196563 0.04201044 0.666856505
-93 0.825561523 0.27042723 0.774102103 0.16982144 0.04986308 0.830708595
-94 0.005760193 0.06863922 0.413105001 0.80787951 0.81871474 0.565592853
-95 0.623413086 0.09422225 0.729800716 0.35120569 0.16269988 0.935669079
-96 0.963989258 0.96828461 0.043478839 0.90069377 0.50886120 0.842695923
-97 0.421020508 0.16918373 0.196973316 0.52296367 0.20205632 0.007268806
-98 0.313354492 0.58946466 0.881128855 0.73021358 0.38516078 0.459060744
-99 0.963256836 0.91588259 0.873051692 0.97309719 0.75135814 0.770613592
-100 0.823852539 0.12452227 0.845681194 0.08775397 0.15969781 0.854058568
-
->
-> names(w) <- NULL
-> write.xport(w[[1]],w[[2]],file="a.xpt") #8.a
-Warning message:
-In write.xport(w[[1]], w[[2]], file = "a.xpt") :
- Data frame names modified to obey SAS rules
-> lookup.xport("a.xpt") #8.b
-
-SAS xport file
---------------
-Filename: `a.xpt'
-
-Variables in data set `W..1..':
- dataset name type format flength fdigits iformat iflength ifdigits
- W..1.. RACE character RACE 0 0 0 0
- W..1.. AGE numeric 0 0 0 0
- W..1.. D1 numeric MMDDYY 10 0 0 0
- W..1.. DT1 numeric DATETIME 0 0 0 0
- W..1.. T1 character TIME 0 0 0 0
- label nobs
- 2
- Age at Beginning of Study 2
- 2
- 2
- 2
-
-Variables in data set `W..2..':
- dataset name type format flength fdigits iformat iflength ifdigits label
- W..2.. X3 numeric 0 0 0 0
- W..2.. X4 numeric 0 0 0 0
- W..2.. X5 numeric 0 0 0 0
- W..2.. X6 numeric 0 0 0 0
- W..2.. X7 numeric 0 0 0 0
- W..2.. X8 numeric 0 0 0 0
- nobs
- 100
- 100
- 100
- 100
- 100
- 100
-
-> (tmp <- read.xport("a.xpt")) #8.c
-$w..1..
- RACE AGE D1 DT1 T1
-1 blue 30 2002-03-03 (03 Mar 2002 04:31:02) 11:13:45
-2 31 2002-06-03 (03 Jun 2002 04:42:07) 11:14:13
-
-$w..2..
- X3 X4 X5 X6 X7 X8
-1 0.554809570 0.91026592 0.199472918 0.77819594 0.76480773 0.907832049
-2 0.628906250 0.59507513 0.149382079 0.19969965 0.45795571 0.571611564
-3 0.560180664 0.20155370 0.871071571 0.89158189 0.81783537 0.069788893
-4 0.930175781 0.67952251 0.064709651 0.23829160 0.67566234 0.861676832
-5 0.427307129 0.53496075 0.903572354 0.77109401 0.74774458 0.131040108
-6 0.185058594 0.51981020 0.793640781 0.78736015 0.76898101 0.891668539
-7 0.173126221 0.41728735 0.038577245 0.50426505 0.49957831 0.613314660
-8 0.896362305 0.80392504 0.701412492 0.70635040 0.14863697 0.406764784
-9 0.533935547 0.29961348 0.528317338 0.99510797 0.21445599 0.373646303
-10 0.360412598 0.59865904 0.724511519 0.21542188 0.31943661 0.148101144
-11 0.567138672 0.03009592 0.068136962 0.13866363 0.81119381 0.337979215
-12 0.840698242 0.13869596 0.309818228 0.52551615 0.80671759 0.844569556
-13 0.262084961 0.21521139 0.075481503 0.13430464 0.56954970 0.443899054
-14 0.685424805 0.81032562 0.975597342 0.70753509 0.12778332 0.317631773
-15 0.752197266 0.57752514 0.195447854 0.71567068 0.72801126 0.563829176
-16 0.993896484 0.09662127 0.364689407 0.54199747 0.81191797 0.959635779
-17 0.264099121 0.11393309 0.812418848 0.28320176 0.46030928 0.530359364
-18 0.630615234 0.80165958 0.918073907 0.19114500 0.04715550 0.297804402
-19 0.630126953 0.83771992 0.658738920 0.20772481 0.11557381 0.936940561
-20 0.671508789 0.62512779 0.713715522 0.27031328 0.44528787 0.076310964
-21 0.451599121 0.97465801 0.088417932 0.56017806 0.08855998 0.131952559
-22 0.531616211 0.13582230 0.125990903 0.68861063 0.05864216 0.657296563
-23 0.745361328 0.52416706 0.138287167 0.93139657 0.93634337 0.279499571
-24 0.860229492 0.23535800 0.067773213 0.55205996 0.86140652 0.580399050
-25 0.885864258 0.89300871 0.154446173 0.05930633 0.47589580 0.489967297
-26 0.133148193 0.61039686 0.236988616 0.43535325 0.67330840 0.042648594
-27 0.106369019 0.47435546 0.894045589 0.71908408 0.91220874 0.777561118
-28 0.321899414 0.82515574 0.345769540 0.27898190 0.37587550 0.221321993
-29 0.584350586 0.45017719 0.256426542 0.55128526 0.99790806 0.116743046
-30 0.782714844 0.88925648 0.672125481 0.44156701 0.77192310 0.389772559
-31 0.255737305 0.76892853 0.691356288 0.24103043 0.30677701 0.010585836
-32 0.268127441 0.49482346 0.566317322 0.80006739 0.53679024 0.787674241
-33 0.132080078 0.55090714 0.066530403 0.35998585 0.50696324 0.892336901
-34 0.209716797 0.87050629 0.265810063 0.34237937 0.99317888 0.516304360
-35 0.731567383 0.80692101 0.868052749 0.41159689 0.81571351 0.670747127
-36 0.974731445 0.05395064 0.043045310 0.30307713 0.82485616 0.613199657
-37 0.060417175 0.93399811 0.892186217 0.54169906 0.80318660 0.918251223
-38 0.053512573 0.45821238 0.997252798 0.18699222 0.74571744 0.118700152
-39 0.274291992 0.15809727 0.456446022 0.81648360 0.93111440 0.607009959
-40 0.902587891 0.92125559 0.663786719 0.67212570 0.81908712 0.803353309
-41 0.107711792 0.39496422 0.157332692 0.34387862 0.81230429 0.606811568
-42 0.264343262 0.35475087 0.116596107 0.21385085 0.33521056 0.911987601
-43 0.717773438 0.92168236 0.860613002 0.26366805 0.50917660 0.285974402
-44 0.298767090 0.97046804 0.715277340 0.40017026 0.53598483 0.602097132
-45 0.838989258 0.43197370 0.872493969 0.93329615 0.55644537 0.399561767
-46 0.547485352 0.87380695 0.425328480 0.84611454 0.91989352 0.449281177
-47 0.951660156 0.55768442 0.701688468 0.69816831 0.07641118 0.280890167
-48 0.438110352 0.67539835 0.596034631 0.31697085 0.97244354 0.052248614
-49 0.360046387 0.84610510 0.208412720 0.62072056 0.59479764 0.122431251
-50 0.055969238 0.76994514 0.313554974 0.71819807 0.62459766 0.170687066
-51 0.409973145 0.02636161 0.004133753 0.43609714 0.56356174 0.735989964
-52 0.835083008 0.06974322 0.933788894 0.25459031 0.68429414 0.836456893
-53 0.328552246 0.95790482 0.581586711 0.96089912 0.64085773 0.649938160
-54 0.153930664 0.10510141 0.862072270 0.82662339 0.84238057 0.104127737
-55 0.360107422 0.57847071 0.425726887 0.64190236 0.66252058 0.930490654
-56 0.169525146 0.91843414 0.262370519 0.47529812 0.62708726 0.655481011
-57 0.915771484 0.70346546 0.545828892 0.59429612 0.21518204 0.868149194
-58 0.194366455 0.85970068 0.682605598 0.28758652 0.08545504 0.044229804
-59 0.262573242 0.02926101 0.503761623 0.72549339 0.82246938 0.239758181
-60 0.890747070 0.46807122 0.086424077 0.19262842 0.35845780 0.013044060
-61 0.934326172 0.94439077 0.478865772 0.21141539 0.85893385 0.039905848
-62 0.015239716 0.02890442 0.531706404 0.91962052 0.96377103 0.279689568
-63 0.363159180 0.98267412 0.382022258 0.09035326 0.53721446 0.278258128
-64 0.533203125 0.09129518 0.864049435 0.21085775 0.74247024 0.520784463
-65 0.812866211 0.92549849 0.326250156 0.03063606 0.37242442 0.681011943
-66 0.821655273 0.93953514 0.730109224 0.56800164 0.36850434 0.135115089
-67 0.495239258 0.18656993 0.703959208 0.91950956 0.37737182 0.331145230
-68 0.026271820 0.28924441 0.370986423 0.46839579 0.26069062 0.496386772
-69 0.961181641 0.07934558 0.370282067 0.01009577 0.91984033 0.250117553
-70 0.867187500 0.62807846 0.297433884 0.42768580 0.67836226 0.055045441
-71 0.634155273 0.45481491 0.366012510 0.46006086 0.62342353 0.553148303
-72 0.529907227 0.22573161 0.255918004 0.81299654 0.48340851 0.388373295
-73 0.969482422 0.06762362 0.233285627 0.28913314 0.40695817 0.379425337
-74 0.322631836 0.16369033 0.696140964 0.23542822 0.44133423 0.353194184
-75 0.980957031 0.88483143 0.904902402 0.40588630 0.43244408 0.104077954
-76 0.381713867 0.33405781 0.008811487 0.85152244 0.97412609 0.427583363
-77 0.352050781 0.81973124 0.882616673 0.97839957 0.91734389 0.705771805
-78 0.236816406 0.13472927 0.039259837 0.18197673 0.83403650 0.871165875
-79 0.216461182 0.39390779 0.689487964 0.52816572 0.18237391 0.328639985
-80 0.579467773 0.16152561 0.799306294 0.01943226 0.19664442 0.494486603
-81 0.213165283 0.49794507 0.903515683 0.82634666 0.95104984 0.512989034
-82 0.369934082 0.48608422 0.740175959 0.22198786 0.88631389 0.958679024
-83 0.023796082 0.34724808 0.996114468 0.41663422 0.13658224 0.809843882
-84 0.390930176 0.94919586 0.265328477 0.42259452 0.18362993 0.018595368
-85 0.171417236 0.26409721 0.171493893 0.43668409 0.29935710 0.788430851
-86 0.980102539 0.42689586 0.197483132 0.61358141 0.66990291 0.453710159
-87 0.656982422 0.36696911 0.047739081 0.27451939 0.18052140 0.054421855
-88 0.488464355 0.91196012 0.845107406 0.83929407 0.90409508 0.544446660
-89 0.314025879 0.50865173 0.984073751 0.74795267 0.57416734 0.370512281
-90 0.805297852 0.37908387 0.390562004 0.36959290 0.51052391 0.633604296
-91 0.471252441 0.43228960 0.225722159 0.80595341 0.16973734 0.474416345
-92 0.539428711 0.33449984 0.007872077 0.28196563 0.04201044 0.666856505
-93 0.825561523 0.27042723 0.774102103 0.16982144 0.04986308 0.830708595
-94 0.005760193 0.06863922 0.413105001 0.80787951 0.81871474 0.565592853
-95 0.623413086 0.09422225 0.729800716 0.35120569 0.16269988 0.935669079
-96 0.963989258 0.96828461 0.043478839 0.90069377 0.50886120 0.842695923
-97 0.421020508 0.16918373 0.196973316 0.52296367 0.20205632 0.007268806
-98 0.313354492 0.58946466 0.881128855 0.73021358 0.38516078 0.459060744
-99 0.963256836 0.91588259 0.873051692 0.97309719 0.75135814 0.770613592
-100 0.823852539 0.12452227 0.845681194 0.08775397 0.15969781 0.854058568
-
->
-> names(w) <- NULL
-> write.xport(list=w,file="a.xpt") #9.a
-Warning message:
-In write.xport(list = w, file = "a.xpt") :
- Replacing missing or invalid dataset names
-> lookup.xport("a.xpt") #9.b
-
-SAS xport file
---------------
-Filename: `a.xpt'
-
-Variables in data set `DATA1':
- dataset name type format flength fdigits iformat iflength ifdigits
- DATA1 RACE character RACE 0 0 0 0
- DATA1 AGE numeric 0 0 0 0
- DATA1 D1 numeric MMDDYY 10 0 0 0
- DATA1 DT1 numeric DATETIME 0 0 0 0
- DATA1 T1 character TIME 0 0 0 0
- label nobs
- 2
- Age at Beginning of Study 2
- 2
- 2
- 2
-
-Variables in data set `DATA2':
- dataset name type format flength fdigits iformat iflength ifdigits label
- DATA2 X3 numeric 0 0 0 0
- DATA2 X4 numeric 0 0 0 0
- DATA2 X5 numeric 0 0 0 0
- DATA2 X6 numeric 0 0 0 0
- DATA2 X7 numeric 0 0 0 0
- DATA2 X8 numeric 0 0 0 0
- nobs
- 100
- 100
- 100
- 100
- 100
- 100
-
-Variables in data set `DATA3':
- dataset name type format flength fdigits iformat iflength ifdigits
- DATA3 FMTNAME character 0 0 0 0
- DATA3 START character 0 0 0 0
- DATA3 END character 0 0 0 0
- DATA3 LABEL character 0 0 0 0
- DATA3 MIN numeric 0 0 0 0
- DATA3 MAX numeric 0 0 0 0
- DATA3 DEFAULT numeric 0 0 0 0
- DATA3 LENGTH numeric 0 0 0 0
- DATA3 FUZZ numeric 0 0 0 0
- DATA3 PREFIX character 0 0 0 0
- DATA3 MULT numeric 0 0 0 0
- DATA3 FILL character 0 0 0 0
- DATA3 NOEDIT numeric 0 0 0 0
- DATA3 TYPE character 0 0 0 0
- DATA3 SEXCL character 0 0 0 0
- DATA3 EEXCL character 0 0 0 0
- DATA3 HLO character 0 0 0 0
- DATA3 DECSEP character 0 0 0 0
- DATA3 DIG3SEP character 0 0 0 0
- DATA3 DATATYPE character 0 0 0 0
- DATA3 LANGUAGE character 0 0 0 0
- label nobs
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
-
-> (tmp <- read.xport("a.xpt")) #9.c
-$data1
- RACE AGE D1 DT1 T1
-1 <NA> 30 2002-03-03 (03 Mar 2002 04:31:02) 11:13:45
-2 <NA> 31 2002-06-03 (03 Jun 2002 04:42:07) 11:14:13
-
-$data2
- X3 X4 X5 X6 X7 X8
-1 0.554809570 0.91026592 0.199472918 0.77819594 0.76480773 0.907832049
-2 0.628906250 0.59507513 0.149382079 0.19969965 0.45795571 0.571611564
-3 0.560180664 0.20155370 0.871071571 0.89158189 0.81783537 0.069788893
-4 0.930175781 0.67952251 0.064709651 0.23829160 0.67566234 0.861676832
-5 0.427307129 0.53496075 0.903572354 0.77109401 0.74774458 0.131040108
-6 0.185058594 0.51981020 0.793640781 0.78736015 0.76898101 0.891668539
-7 0.173126221 0.41728735 0.038577245 0.50426505 0.49957831 0.613314660
-8 0.896362305 0.80392504 0.701412492 0.70635040 0.14863697 0.406764784
-9 0.533935547 0.29961348 0.528317338 0.99510797 0.21445599 0.373646303
-10 0.360412598 0.59865904 0.724511519 0.21542188 0.31943661 0.148101144
-11 0.567138672 0.03009592 0.068136962 0.13866363 0.81119381 0.337979215
-12 0.840698242 0.13869596 0.309818228 0....
[truncated message content] |
