
R Under development (unstable) (2019-07-31 r76909) -- "Unsuffered Consequences"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> library(foreign)
> 
> sample100 <- read.spss("sample100.sav",FALSE)
> summary(sample100)
         Length Class  Mode     
YEAR     100    -none- numeric  
DISTRICT 100    -none- numeric  
CAMPUS   100    -none- numeric  
DNAME    100    -none- character
CNAME    100    -none- character
SEX      100    -none- character
DISADVG  100    -none- character
ETHNICTY 100    -none- character
STUID    100    -none- character
TLIMTH   100    -none- numeric  
GRADE    100    -none- numeric  
> str(sample100)
List of 11
 $ YEAR    : num [1:100] 99 94 94 95 96 97 98 99 94 95 ...
 $ DISTRICT: num [1:100] 57914 57914 57914 57914 57914 ...
 $ CAMPUS  : num [1:100] 57914045 57914106 57914110 57914123 57914117 ...
 $ DNAME   : chr [1:100] "MESQUITE ISD   " "MESQUITE ISD   " "MESQUITE ISD   " "MESQUITE ISD   " ...
 $ CNAME   : chr [1:100] "A C NEW MIDDLE " "MCWHORTER EL   " "RUTHERFORD EL  " "JOEY M PIRRUNG " ...
 $ SEX     : chr [1:100] "F" "F" " " "F" ...
 $ DISADVG : chr [1:100] "NO " "NO " "   " "NO " ...
 $ ETHNICTY: chr [1:100] "WHITE   " "WHITE   " "        " "HISPANIC" ...
 $ STUID   : chr [1:100] "00614371S" "00614372S" "00614373S" "00614373S" ...
 $ TLIMTH  : num [1:100] 90 86 67 77 77 79 86 87 89 85 ...
 $ GRADE   : num [1:100] 8 3 3 4 5 6 7 8 3 4 ...
 - attr(*, "label.table")=List of 11
  ..$ YEAR    : NULL
  ..$ DISTRICT: NULL
  ..$ CAMPUS  : NULL
  ..$ DNAME   : NULL
  ..$ CNAME   : NULL
  ..$ SEX     : NULL
  ..$ DISADVG : NULL
  ..$ ETHNICTY: NULL
  ..$ STUID   : NULL
  ..$ TLIMTH  : NULL
  ..$ GRADE   : NULL
 - attr(*, "variable.labels")= Named chr [1:11] "YEAR OF ADMINISTRATION" "COUNTY DISTRICT NUMBER" "COUNTY DISTRICT CAMPUS NUMBER" "DISTRICT NAME" ...
  ..- attr(*, "names")= chr [1:11] "YEAR" "DISTRICT" "CAMPUS" "DNAME" ...
> d.sample100 <- data.frame(sample100,stringsAsFactors=TRUE)
> summary(d.sample100)
      YEAR           DISTRICT          CAMPUS                      DNAME   
 Min.   :  94.0   Min.   : 57905   Min.   : 57905126   DALLAS ISD     : 1  
 1st Qu.:  95.0   1st Qu.: 57914   1st Qu.: 57914046   HARMONY ISD    : 1  
 Median :  96.0   Median : 57914   Median : 57914112   MESQUITE ISD   :96  
 Mean   : 115.4   Mean   : 59644   Mean   : 59644015   SUNNYVALE ISD  : 2  
 3rd Qu.:  98.0   3rd Qu.: 57914   3rd Qu.: 57914125                       
 Max.   :2000.0   Max.   :230905   Max.   :230905101                       
                                                                           
             CNAME    SEX    DISADVG      ETHNICTY        STUID   
 J C AUSTIN EL  :23    : 4      : 4           : 4   00614373S: 6  
 R S KIMBROUGH M:12   F:62   NO :90   HISPANIC: 3   00614378S: 6  
 WILKINSON MIDDL: 9   M:34   YES: 6   OTHER   : 2   00614379S: 6  
 VERNON PRICE EL: 7                   WHITE   :91   00614389S: 6  
 TISINGER EL    : 6                                 00614397S: 6  
 THOMPSON EL    : 5                                 00614403S: 6  
 (Other)        :38                                 (Other)  :64  
     TLIMTH          GRADE     
 Min.   :54.00   Min.   :3.00  
 1st Qu.:74.00   1st Qu.:4.00  
 Median :84.00   Median :5.00  
 Mean   :80.16   Mean   :5.37  
 3rd Qu.:87.00   3rd Qu.:7.00  
 Max.   :93.00   Max.   :8.00  
                               
> s100 <- sample100
> sample100 <- read.spss("sample100.por",FALSE)
> stopifnot(identical(s100, sample100)) # no need for further summary() etc
> 
> pbc <- read.spss("pbc.sav",FALSE)
> summary(pbc)
         Length Class  Mode   
AGE      418    -none- numeric
ALB      418    -none- numeric
ALKPHOS  418    -none- numeric
ASCITES  418    -none- numeric
BILI     418    -none- numeric
CHOL     418    -none- numeric
EDEMA    418    -none- numeric
EDTRT    418    -none- numeric
HEPMEG   418    -none- numeric
TIME     418    -none- numeric
PLATELET 418    -none- numeric
PROTIME  418    -none- numeric
SEX      418    -none- numeric
SGOT     418    -none- numeric
SPIDERS  418    -none- numeric
STAGE    418    -none- numeric
STATUS   418    -none- numeric
TRT      418    -none- numeric
TRIG     418    -none- numeric
COPPER   418    -none- numeric
> str(pbc)
List of 20
 $ AGE     : num [1:418] 58.8 56.4 70.1 54.7 38.1 ...
 $ ALB     : num [1:418] 2.6 4.14 3.48 2.54 3.53 3.98 4.09 4 3.08 2.74 ...
 $ ALKPHOS : num [1:418] 1718 7395 516 6122 671 ...
 $ ASCITES : num [1:418] 1 0 0 0 0 0 0 0 0 1 ...
 $ BILI    : num [1:418] 14.5 1.1 1.4 1.8 3.4 0.8 1 0.3 3.2 12.6 ...
 $ CHOL    : num [1:418] 261 302 176 244 279 248 322 280 562 200 ...
 $ EDEMA   : num [1:418] 1 0 1 1 0 0 0 0 0 1 ...
 $ EDTRT   : num [1:418] 1 0 0.5 0.5 0 0 0 0 0 1 ...
 $ HEPMEG  : num [1:418] 1 1 0 1 1 1 1 0 0 0 ...
 $ TIME    : num [1:418] 400 4500 1012 1925 1504 ...
 $ PLATELET: num [1:418] 190 221 151 183 136 -9 204 373 251 302 ...
 $ PROTIME : num [1:418] 12.2 10.6 12 10.3 10.9 11 9.7 11 11 11.5 ...
 $ SEX     : num [1:418] 1 1 0 1 1 1 1 1 1 1 ...
 $ SGOT    : num [1:418] 137.9 113.5 96.1 60.6 113.2 ...
 $ SPIDERS : num [1:418] 1 1 0 1 1 0 0 0 1 1 ...
 $ STAGE   : num [1:418] 4 3 4 4 3 3 3 3 2 4 ...
 $ STATUS  : num [1:418] 1 0 1 1 0 1 0 1 1 1 ...
 $ TRT     : num [1:418] 1 1 1 1 2 2 2 2 1 2 ...
 $ TRIG    : num [1:418] 172 88 55 92 72 63 213 189 88 143 ...
 $ COPPER  : num [1:418] 156 54 210 64 143 50 52 52 79 140 ...
 - attr(*, "label.table")=List of 20
  ..$ AGE     : NULL
  ..$ ALB     : NULL
  ..$ ALKPHOS : NULL
  ..$ ASCITES : NULL
  ..$ BILI    : NULL
  ..$ CHOL    : NULL
  ..$ EDEMA   : NULL
  ..$ EDTRT   : NULL
  ..$ HEPMEG  : NULL
  ..$ TIME    : NULL
  ..$ PLATELET: NULL
  ..$ PROTIME : NULL
  ..$ SEX     : NULL
  ..$ SGOT    : NULL
  ..$ SPIDERS : NULL
  ..$ STAGE   : NULL
  ..$ STATUS  : NULL
  ..$ TRT     : NULL
  ..$ TRIG    : NULL
  ..$ COPPER  : NULL
> d.pbc <- data.frame(pbc)
> summary(d.pbc)
      AGE             ALB           ALKPHOS         ASCITES      
 Min.   :26.28   Min.   :1.960   Min.   :   -9   Min.   :-9.000  
 1st Qu.:42.83   1st Qu.:3.243   1st Qu.:   -9   1st Qu.:-9.000  
 Median :51.00   Median :3.530   Median : 1009   Median : 0.000  
 Mean   :50.74   Mean   :3.497   Mean   : 1478   Mean   :-2.225  
 3rd Qu.:58.24   3rd Qu.:3.770   3rd Qu.: 1708   3rd Qu.: 0.000  
 Max.   :78.44   Max.   :4.640   Max.   :13862   Max.   : 1.000  
      BILI             CHOL            EDEMA            EDTRT       
 Min.   : 0.300   Min.   :  -9.0   Min.   :0.0000   Min.   :0.0000  
 1st Qu.: 0.800   1st Qu.:  -9.0   1st Qu.:0.0000   1st Qu.:0.0000  
 Median : 1.400   Median : 252.5   Median :0.0000   Median :0.0000  
 Mean   : 3.221   Mean   : 248.2   Mean   :0.1196   Mean   :0.1005  
 3rd Qu.: 3.400   3rd Qu.: 347.8   3rd Qu.:0.0000   3rd Qu.:0.0000  
 Max.   :28.000   Max.   :1775.0   Max.   :1.0000   Max.   :1.0000  
     HEPMEG          TIME         PLATELET        PROTIME           SEX        
 Min.   :-9.0   Min.   :  41   Min.   : -9.0   Min.   : 9.00   Min.   :-9.000  
 1st Qu.:-9.0   1st Qu.:1093   1st Qu.:181.0   1st Qu.:10.00   1st Qu.:-9.000  
 Median : 0.0   Median :1730   Median :248.0   Median :10.60   Median : 1.000  
 Mean   :-1.9   Mean   :1918   Mean   :250.0   Mean   :10.73   Mean   :-1.622  
 3rd Qu.: 1.0   3rd Qu.:2614   3rd Qu.:315.5   3rd Qu.:11.10   3rd Qu.: 1.000  
 Max.   : 1.0   Max.   :4795   Max.   :721.0   Max.   :18.00   Max.   : 1.000  
      SGOT           SPIDERS           STAGE              STATUS      
 Min.   : -9.00   Min.   :-9.000   Min.   :-9.00000   Min.   :0.0000  
 1st Qu.: -9.00   1st Qu.:-9.000   1st Qu.:-9.00000   1st Qu.:0.0000  
 Median : 90.45   Median : 0.000   Median : 3.00000   Median :0.0000  
 Mean   : 89.20   Mean   :-2.067   Mean   :-0.01914   Mean   :0.3852  
 3rd Qu.:135.75   3rd Qu.: 0.000   3rd Qu.: 4.00000   3rd Qu.:1.0000  
 Max.   :457.25   Max.   : 1.000   Max.   : 4.00000   Max.   :1.0000  
      TRT              TRIG           COPPER      
 Min.   :-9.000   Min.   : -9.0   Min.   : -9.00  
 1st Qu.:-9.000   1st Qu.: -9.0   1st Qu.: -9.00  
 Median : 1.000   Median : 85.0   Median : 50.50  
 Mean   :-1.167   Mean   : 81.2   Mean   : 70.09  
 3rd Qu.: 2.000   3rd Qu.:127.8   3rd Qu.:100.75  
 Max.   : 2.000   Max.   :598.0   Max.   :588.00  
> pbco <- read.spss("pbcold.sav",FALSE)
> stopifnot(identical(pbc, pbco))
> ## summary(pbco)
> ## str(pbco)
> ## d.pbco <- data.frame(pbco)
> ## summary(d.pbco)
> pbc. <- read.spss("pbc.por",FALSE)
> summary(pbc.)
         Length Class  Mode   
AGE      418    -none- numeric
ALB      418    -none- numeric
ALKPHOS  418    -none- numeric
ASCITES  418    -none- numeric
BILI     418    -none- numeric
CHOL     418    -none- numeric
EDEMA    418    -none- numeric
EDTRT    418    -none- numeric
HEPMEG   418    -none- numeric
TIME     418    -none- numeric
PLATELET 418    -none- numeric
PROTIME  418    -none- numeric
SEX      418    -none- numeric
SGOT     418    -none- numeric
SPIDERS  418    -none- numeric
STAGE    418    -none- numeric
STATUS   418    -none- numeric
TRT      418    -none- numeric
TRIG     418    -none- numeric
COPPER   418    -none- numeric
> str(pbc.) # has variable.labels
List of 20
 $ AGE     : num [1:418] 58.8 56.4 70.1 54.7 38.1 ...
 $ ALB     : num [1:418] 2.6 4.14 3.48 2.54 3.53 3.98 4.09 4 3.08 2.74 ...
 $ ALKPHOS : num [1:418] 1718 7395 516 6122 671 ...
 $ ASCITES : num [1:418] 1 0 0 0 0 0 0 0 0 1 ...
 $ BILI    : num [1:418] 14.5 1.1 1.4 1.8 3.4 0.8 1 0.3 3.2 12.6 ...
 $ CHOL    : num [1:418] 261 302 176 244 279 248 322 280 562 200 ...
 $ EDEMA   : num [1:418] 1 0 1 1 0 0 0 0 0 1 ...
 $ EDTRT   : num [1:418] 1 0 0.5 0.5 0 0 0 0 0 1 ...
 $ HEPMEG  : num [1:418] 1 1 0 1 1 1 1 0 0 0 ...
 $ TIME    : num [1:418] 400 4500 1012 1925 1504 ...
 $ PLATELET: num [1:418] 190 221 151 183 136 -9 204 373 251 302 ...
 $ PROTIME : num [1:418] 12.2 10.6 12 10.3 10.9 11 9.7 11 11 11.5 ...
 $ SEX     : num [1:418] 1 1 0 1 1 1 1 1 1 1 ...
 $ SGOT    : num [1:418] 137.9 113.5 96.1 60.6 113.2 ...
 $ SPIDERS : num [1:418] 1 1 0 1 1 0 0 0 1 1 ...
 $ STAGE   : num [1:418] 4 3 4 4 3 3 3 3 2 4 ...
 $ STATUS  : num [1:418] 1 0 1 1 0 1 0 1 1 1 ...
 $ TRT     : num [1:418] 1 1 1 1 2 2 2 2 1 2 ...
 $ TRIG    : num [1:418] 172 88 55 92 72 63 213 189 88 143 ...
 $ COPPER  : num [1:418] 156 54 210 64 143 50 52 52 79 140 ...
 - attr(*, "label.table")=List of 20
  ..$ AGE     : NULL
  ..$ ALB     : NULL
  ..$ ALKPHOS : NULL
  ..$ ASCITES : NULL
  ..$ BILI    : NULL
  ..$ CHOL    : NULL
  ..$ EDEMA   : NULL
  ..$ EDTRT   : NULL
  ..$ HEPMEG  : NULL
  ..$ TIME    : NULL
  ..$ PLATELET: NULL
  ..$ PROTIME : NULL
  ..$ SEX     : NULL
  ..$ SGOT    : NULL
  ..$ SPIDERS : NULL
  ..$ STAGE   : NULL
  ..$ STATUS  : NULL
  ..$ TRT     : NULL
  ..$ TRIG    : NULL
  ..$ COPPER  : NULL
 - attr(*, "variable.labels")= Named chr [1:20] " " " " " " " " ...
  ..- attr(*, "names")= chr [1:20] "AGE" "ALB" "ALKPHOS" "ASCITES" ...
> stopifnot(all.equal(d.pbc, data.frame(pbc.), tolerance = 1e-15))
> 
> electric.s  <- read.spss(system.file("files", "electric.sav", package = "foreign"), TRUE, TRUE)
> electric.p  <- read.spss("electric.por",TRUE,TRUE)
> electric.s4 <- read.spss(system.file("files", "electric.sav", package = "foreign"), TRUE, TRUE, max.value.labels = 4)
> summary(electric.s)
     CASEID                 FIRSTCHD        AGE           DBP58       
 Min.   :   1.00   NO CHD       :120   Min.   :40.0   Min.   : 65.00  
 1st Qu.:  73.75   SUDDEN  DEATH: 36   1st Qu.:45.0   1st Qu.: 80.00  
 Median : 144.50   NONFATALMI   : 72   Median :48.0   Median : 87.00  
 Mean   : 572.94   FATAL   MI   :  9   Mean   :47.8   Mean   : 88.79  
 3rd Qu.:1042.25   OTHER   CHD  :  3   3rd Qu.:51.0   3rd Qu.: 96.50  
 Max.   :2098.00                       Max.   :54.0   Max.   :160.00  
                                                      NA's   :1       
     EDUYR           CHOL58          CGT58            HT58      
 Min.   : 6.00   Min.   :106.0   Min.   : 0.00   Min.   :60.90  
 1st Qu.: 9.75   1st Qu.:228.8   1st Qu.: 0.00   1st Qu.:66.50  
 Median :12.00   Median :261.0   Median :10.00   Median :68.15  
 Mean   :11.66   Mean   :264.1   Mean   :11.58   Mean   :68.51  
 3rd Qu.:14.00   3rd Qu.:293.2   3rd Qu.:20.00   3rd Qu.:70.20  
 Max.   :18.00   Max.   :515.0   Max.   :60.00   Max.   :77.00  
 NA's   :28                      NA's   :1                      
      WT58           DAYOFWK     VITAL10    FAMHXCVR       CHD     
 Min.   :123.0   SUNDAY  : 19   ALIVE:179   NO :178   Min.   :0.0  
 1st Qu.:156.0   TUESDAY : 19   DEAD : 61   YES: 62   1st Qu.:0.0  
 Median :171.0   WEDNSDAY: 17                         Median :0.5  
 Mean   :173.4   SATURDAY: 16                         Mean   :0.5  
 3rd Qu.:187.0   THURSDAY: 15                         3rd Qu.:1.0  
 Max.   :278.0   (Other) : 24                         Max.   :1.0  
                 NA's    :130                                      
> ii <- c(2,10)
> vl <- list(FIRSTCHD = c("OTHER   CHD"= 6, "FATAL   MI"= 5, "NONFATALMI"= 3,
+             "SUDDEN  DEATH" = 2, "NO CHD" = 1),
+        DAYOFWK = c(SATURDAY=7, FRIDAY=6, THURSDAY=5,
+                WEDNSDAY=4, TUESDAY=3, MONDAY=2, SUNDAY=1))
> stopifnot(identical(electric.s,      electric.p),
+       identical(electric.s[-ii], electric.s4[-ii]),
+       identical(vl, lapply(electric.s4[ii], attr, "value.labels")),
+       identical(lapply(vl, names),
+             lapply(electric.s[ii], function(.) rev(levels(.)))))
> 
> 
> ## after "long label patch":
> 
> invisible(Sys.setlocale (locale="C")) ## to resolve locale problem
> ldat <- read.spss("spss_long.sav", to.data.frame=TRUE)
> ldat
  variable1 variable2
1         1         1
2         2         1
3         2         3
> nnms <- nms <- names(ldat)
> names(nnms) <- nms
> stopifnot(identical(nms,  c("variable1", "variable2")),
+       identical(nnms, attr(ldat, "variable.labels")))
> 
> 
> ## some new arkward testcases for problems found in foreign <= 0.8-68 and duplicated value labels in general:
> 
> ## Expect lots of warnings as value labels (corresponding to R factor labels) are uncomplete, 
> ## and an unsupported long string variable is present in the data
> 
> setwd(system.file("files", package = "foreign"))
> sav <- "testdata.sav"
> 
> x.nodat <- read.spss(file=sav, to.data.frame = FALSE, reencode="UTF-8")
re-encoding from UTF-8
Warning messages:
1: In read.spss(file = sav, to.data.frame = FALSE, reencode = "UTF-8") :
  testdata.sav: Very long string record(s) found (record type 7, subtype 14), each will be imported in consecutive separate variables
2: In read.spss(file = sav, to.data.frame = FALSE, reencode = "UTF-8") :
  Undeclared level(s) -1 added in variable: factor_numeric
3: In read.spss(file = sav, to.data.frame = FALSE, reencode = "UTF-8") :
  Duplicated levels in factor factor_n_duplicated: A
4: In read.spss(file = sav, to.data.frame = FALSE, reencode = "UTF-8") :
  Undeclared level(s) 2, 3, 4 added in variable: factor_n_undeclared
5: In read.spss(file = sav, to.data.frame = FALSE, reencode = "UTF-8") :
  Undeclared level(s) 0, 3 added in variable: factor_n_undeclared2
6: In read.spss(file = sav, to.data.frame = FALSE, reencode = "UTF-8") :
  Undeclared level(s) .. added in variable: factor_s_duplicated
7: In read.spss(file = sav, to.data.frame = FALSE, reencode = "UTF-8") :
  Duplicated levels in factor factor_s_duplicated: A
8: In read.spss(file = sav, to.data.frame = FALSE, reencode = "UTF-8") :
  Undeclared level(s) perhaps added in variable: factor_s_undeclared
> str(x.nodat)
List of 17
 $ numeric                  : num [1:5] 1 2 3 NA 3
 $ numeric_long_label       : num [1:5] 1 2 3.33 4 NA
 $ factor_numeric           : Factor w/ 6 levels "-1","strongly disagree",..: 2 3 4 1 NA
 $ factor_n_long_value_label: Factor w/ 2 levels "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnop",..: 1 2 NA 2 1
 $ factor_n_coded_miss      : Factor w/ 6 levels "strongly disagree",..: 1 2 6 5 NA
 $ factor_n_duplicated      : Factor w/ 3 levels "A","A_duplicated_2",..: 1 1 2 NA 3
 $ factor_n_undeclared      : Factor w/ 5 levels "strongly disagree",..: 1 2 4 3 1
 $ factor_n_undeclared2     : Factor w/ 4 levels "0","yes","no",..: 1 4 NA 1 4
 $ string                   : chr [1:5] "Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum s"| __truncated__ "One morning, when Gregor Samsa woke from troubled dreams, he found himself transformed in his bed into a horrib"| __truncated__ "                                                                                                               "| __truncated__ "                                                                                                               "| __truncated__ ...
 $ string_500               : chr [1:5] "A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy "| __truncated__ "                                                                                                               "| __truncated__ "Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind t"| __truncated__ "                                                                                                               "| __truncated__ ...
 $ STRIN0                   : chr [1:5] ", my dear friend, so absorbed in the exquisite sense of mere tranquil existence, that I neglect my talents. I s"| __truncated__ "                                                                                                               "| __truncated__ "r place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of"| __truncated__ "                                                                                                               "| __truncated__ ...
 $ string_miss              : chr [1:5] "a       " "c       " "b       " "g       " ...
 $ factor_s_coded_miss      : Factor w/ 3 levels "female","male",..: 2 1 NA 2 3
 $ factor_s_duplicated      : Factor w/ 4 levels "..","A","A_duplicated_b",..: 2 1 1 NA NA
 $ factor_s_undeclared      : Factor w/ 3 levels "no","perhaps",..: 3 1 2 NA 3
 $ factor_s_undeclared2     : Factor w/ 2 levels "no","yes": NA NA NA NA NA
 $ date                     : num [1:5] 1.27e+10 1.37e+10 1.37e+10 NA NA
 - attr(*, "label.table")=List of 17
  ..$ numeric                  : NULL
  ..$ numeric_long_label       : NULL
  ..$ factor_numeric           : Named chr [1:5] "5" "4" "3" "2" ...
  .. ..- attr(*, "names")= chr [1:5] "strongly agree" "agree" "neither agree nor disagree" "disagree" ...
  ..$ factor_n_long_value_label: Named chr [1:2] "2" "1"
  .. ..- attr(*, "names")= chr [1:2] "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 ! \" # $ % & ' ( ) * + , - . / : ; < = > ? @ [ \\ ] ^ _ ` { | } ~ ..." "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnop"
  ..$ factor_n_coded_miss      : Named chr [1:6] "99" "5" "4" "3" ...
  .. ..- attr(*, "names")= chr [1:6] "no answer" "strongly agree" "agree" "neither agree nor disagree" ...
  ..$ factor_n_duplicated      : Named chr [1:3] "3" "2" "1"
  .. ..- attr(*, "names")= chr [1:3] "B" "A" "A"
  ..$ factor_n_undeclared      : Named chr [1:2] "5" "1"
  .. ..- attr(*, "names")= chr [1:2] "strongly agree" "strongly disagree"
  ..$ factor_n_undeclared2     : Named chr [1:2] "2" "1"
  .. ..- attr(*, "names")= chr [1:2] "no" "yes"
  ..$ string                   : NULL
  ..$ string_500               : NULL
  ..$ STRIN0                   : NULL
  ..$ string_miss              : NULL
  ..$ factor_s_coded_miss      : Named chr [1:3] "u       " "m       " "f       "
  .. ..- attr(*, "names")= chr [1:3] "unknown" "male" "female"
  ..$ factor_s_duplicated      : Named chr [1:3] "c       " "b       " "a       "
  .. ..- attr(*, "names")= chr [1:3] "C" "A" "A"
  ..$ factor_s_undeclared      : Named chr [1:2] "y       " "n       "
  .. ..- attr(*, "names")= chr [1:2] "yes" "no"
  ..$ factor_s_undeclared2     : Named chr [1:2] "y       " "n       "
  .. ..- attr(*, "names")= chr [1:2] "yes" "no"
  ..$ date                     : NULL
 - attr(*, "variable.labels")= Named chr [1:17] "numeric variable" "numeric variable with long label: this variable hat five observations (one is missing). All values between 1 an"| __truncated__ "numeric factor with missing range" "numeric factor with long value labels" ...
  ..- attr(*, "names")= chr [1:17] "numeric" "numeric_long_label" "factor_numeric" "factor_n_long_value_label" ...
 - attr(*, "missings")=List of 17
  ..$ numeric                  :List of 1
  .. ..$ type: chr "none"
  ..$ numeric_long_label       :List of 2
  .. ..$ type : chr "range"
  .. ..$ value: num [1:2] 1 2
  ..$ factor_numeric           :List of 2
  .. ..$ type : chr "range"
  .. ..$ value: num [1:2] -1 0
  ..$ factor_n_long_value_label:List of 1
  .. ..$ type: chr "none"
  ..$ factor_n_coded_miss      :List of 2
  .. ..$ type : chr "one"
  .. ..$ value: num 99
  ..$ factor_n_duplicated      :List of 1
  .. ..$ type: chr "none"
  ..$ factor_n_undeclared      :List of 1
  .. ..$ type: chr "none"
  ..$ factor_n_undeclared2     :List of 1
  .. ..$ type: chr "none"
  ..$ string                   :List of 1
  .. ..$ type: chr "none"
  ..$ string_500               :List of 1
  .. ..$ type: chr "none"
  ..$ STRIN0                   :List of 1
  .. ..$ type: chr "none"
  ..$ string_miss              :List of 2
  .. ..$ type : chr "two"
  .. ..$ value: chr [1:2] "a       b       " "b       "
  ..$ factor_s_coded_miss      :List of 2
  .. ..$ type : chr "three"
  .. ..$ value: chr [1:3] "u       v       w       \b" "v       w       \b" "w       \b"
  ..$ factor_s_duplicated      :List of 1
  .. ..$ type: chr "none"
  ..$ factor_s_undeclared      :List of 1
  .. ..$ type: chr "none"
  ..$ factor_s_undeclared2     :List of 1
  .. ..$ type: chr "none"
  ..$ date                     :List of 1
  .. ..$ type: chr "none"
 - attr(*, "codepage")= int 65001
> 
> x.sort <- read.spss(file=sav, to.data.frame = TRUE, reencode="UTF-8",
+                     stringsAsFactors=TRUE)
re-encoding from UTF-8
Warning messages:
1: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8",  :
  testdata.sav: Very long string record(s) found (record type 7, subtype 14), each will be imported in consecutive separate variables
2: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8",  :
  Duplicated levels in factor factor_n_duplicated: A
3: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8",  :
  Undeclared level(s) 2, 3, 4 added in variable: factor_n_undeclared
4: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8",  :
  Undeclared level(s) 0, 3 added in variable: factor_n_undeclared2
5: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8",  :
  Undeclared level(s) .. added in variable: factor_s_duplicated
6: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8",  :
  Duplicated levels in factor factor_s_duplicated: A
7: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8",  :
  Undeclared level(s) perhaps added in variable: factor_s_undeclared
> str(x.sort)
'data.frame':	5 obs. of  17 variables:
 $ numeric                  : num  1 2 3 NA 3
 $ numeric_long_label       : num  NA NA 3.33 4 NA
 $ factor_numeric           : Factor w/ 5 levels "strongly disagree",..: 1 2 3 NA NA
 $ factor_n_long_value_label: Factor w/ 2 levels "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnop",..: 1 2 NA 2 1
 $ factor_n_coded_miss      : Factor w/ 5 levels "strongly disagree",..: 1 2 NA 5 NA
 $ factor_n_duplicated      : Factor w/ 3 levels "A","A_duplicated_2",..: 1 1 2 NA 3
 $ factor_n_undeclared      : Factor w/ 5 levels "strongly disagree",..: 1 2 4 3 1
 $ factor_n_undeclared2     : Factor w/ 4 levels "0","yes","no",..: 1 4 NA 1 4
 $ string                   : Factor w/ 4 levels "                                                                                                               "| __truncated__,..: 3 4 1 1 2
 $ string_500               : Factor w/ 4 levels "                                                                                                               "| __truncated__,..: 2 1 3 1 4
 $ STRIN0                   : Factor w/ 4 levels "                                                                                                               "| __truncated__,..: 2 1 4 1 3
 $ string_miss              : Factor w/ 4 levels "        ","a       ",..: 2 3 NA 4 1
 $ factor_s_coded_miss      : Factor w/ 3 levels "female","male",..: 2 1 NA 2 3
 $ factor_s_duplicated      : Factor w/ 4 levels "..","A","A_duplicated_b",..: 2 1 1 NA NA
 $ factor_s_undeclared      : Factor w/ 3 levels "no","perhaps",..: 3 1 2 NA 3
 $ factor_s_undeclared2     : Factor w/ 2 levels "no","yes": NA NA NA NA NA
 $ date                     : num  1.27e+10 1.37e+10 1.37e+10 NA NA
 - attr(*, "variable.labels")= Named chr  "numeric variable" "numeric variable with long label: this variable hat five observations (one is missing). All values between 1 an"| __truncated__ "numeric factor with missing range" "numeric factor with long value labels" ...
  ..- attr(*, "names")= chr  "numeric" "numeric_long_label" "factor_numeric" "factor_n_long_value_label" ...
 - attr(*, "codepage")= int 65001
> x.append <- read.spss(file=sav, to.data.frame = TRUE, 
+     add.undeclared.levels = "append", reencode="UTF-8")
re-encoding from UTF-8
Warning messages:
1: In read.spss(file = sav, to.data.frame = TRUE, add.undeclared.levels = "append",  :
  testdata.sav: Very long string record(s) found (record type 7, subtype 14), each will be imported in consecutive separate variables
2: In read.spss(file = sav, to.data.frame = TRUE, add.undeclared.levels = "append",  :
  Duplicated levels in factor factor_n_duplicated: A
3: In read.spss(file = sav, to.data.frame = TRUE, add.undeclared.levels = "append",  :
  Undeclared level(s) 2, 3, 4 added in variable: factor_n_undeclared
4: In read.spss(file = sav, to.data.frame = TRUE, add.undeclared.levels = "append",  :
  Undeclared level(s) 0, 3 added in variable: factor_n_undeclared2
5: In read.spss(file = sav, to.data.frame = TRUE, add.undeclared.levels = "append",  :
  Undeclared level(s) .. added in variable: factor_s_duplicated
6: In read.spss(file = sav, to.data.frame = TRUE, add.undeclared.levels = "append",  :
  Duplicated levels in factor factor_s_duplicated: A
7: In read.spss(file = sav, to.data.frame = TRUE, add.undeclared.levels = "append",  :
  Undeclared level(s) perhaps added in variable: factor_s_undeclared
> x.no <- read.spss(file=sav, to.data.frame = TRUE, 
+     add.undeclared.levels = "no", reencode="UTF-8")
re-encoding from UTF-8
Warning messages:
1: In read.spss(file = sav, to.data.frame = TRUE, add.undeclared.levels = "no",  :
  testdata.sav: Very long string record(s) found (record type 7, subtype 14), each will be imported in consecutive separate variables
2: In read.spss(file = sav, to.data.frame = TRUE, add.undeclared.levels = "no",  :
  Duplicated levels in factor factor_n_duplicated: A
> 
> levels(x.sort$factor_n_undeclared)
[1] "strongly disagree" "2"                 "3"                
[4] "4"                 "strongly agree"   
> levels(x.append$factor_n_undeclared)
[1] "strongly disagree" "strongly agree"    "2"                
[4] "3"                 "4"                
> str(x.no$factor_n_undeclared)
 num [1:5] 1 2 4 3 1
 - attr(*, "value.labels")= Named chr [1:2] "5" "1"
  ..- attr(*, "names")= chr [1:2] "strongly agree" "strongly disagree"
> 
> 
> ### Examples for duplicated.value.labels:
> ## duplicated.value.labels = "append" (default)
> x.append <- read.spss(file=sav, to.data.frame=TRUE, reencode="UTF-8")
re-encoding from UTF-8
Warning messages:
1: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8") :
  testdata.sav: Very long string record(s) found (record type 7, subtype 14), each will be imported in consecutive separate variables
2: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8") :
  Duplicated levels in factor factor_n_duplicated: A
3: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8") :
  Undeclared level(s) 2, 3, 4 added in variable: factor_n_undeclared
4: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8") :
  Undeclared level(s) 0, 3 added in variable: factor_n_undeclared2
5: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8") :
  Undeclared level(s) .. added in variable: factor_s_duplicated
6: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8") :
  Duplicated levels in factor factor_s_duplicated: A
7: In read.spss(file = sav, to.data.frame = TRUE, reencode = "UTF-8") :
  Undeclared level(s) perhaps added in variable: factor_s_undeclared
> ## duplicated.value.labels = "condense"
> x.condense <- read.spss(file=sav, to.data.frame=TRUE, 
+     duplicated.value.labels = "condense", reencode="UTF-8")
re-encoding from UTF-8
Warning messages:
1: In read.spss(file = sav, to.data.frame = TRUE, duplicated.value.labels = "condense",  :
  testdata.sav: Very long string record(s) found (record type 7, subtype 14), each will be imported in consecutive separate variables
2: In read.spss(file = sav, to.data.frame = TRUE, duplicated.value.labels = "condense",  :
  Duplicated levels in factor factor_n_duplicated: A
3: In read.spss(file = sav, to.data.frame = TRUE, duplicated.value.labels = "condense",  :
  Undeclared level(s) 2, 3, 4 added in variable: factor_n_undeclared
4: In read.spss(file = sav, to.data.frame = TRUE, duplicated.value.labels = "condense",  :
  Undeclared level(s) 0, 3 added in variable: factor_n_undeclared2
5: In read.spss(file = sav, to.data.frame = TRUE, duplicated.value.labels = "condense",  :
  Undeclared level(s) .. added in variable: factor_s_duplicated
6: In read.spss(file = sav, to.data.frame = TRUE, duplicated.value.labels = "condense",  :
  Duplicated levels in factor factor_s_duplicated: A
7: In read.spss(file = sav, to.data.frame = TRUE, duplicated.value.labels = "condense",  :
  Undeclared level(s) perhaps added in variable: factor_s_undeclared
> 
> levels(x.append$factor_n_duplicated)
[1] "A"              "A_duplicated_2" "B"             
> levels(x.condense$factor_n_duplicated)
[1] "A" "B"
> 
> as.numeric(x.append$factor_n_duplicated)
[1]  1  1  2 NA  3
> as.numeric(x.condense$factor_n_duplicated)
[1]  1  1  1 NA  2
> 
> ### ToDo:    
> ## Long Strings (>255 chars) are imported in consecutive separate variables 
> ## (see warning about subtype 14)
> ## we should get that right in the import function in future versions
> x <- read.spss(file=sav, to.data.frame=TRUE, stringsAsFactors=FALSE, reencode="UTF-8")
re-encoding from UTF-8
Warning messages:
1: In read.spss(file = sav, to.data.frame = TRUE, stringsAsFactors = FALSE,  :
  testdata.sav: Very long string record(s) found (record type 7, subtype 14), each will be imported in consecutive separate variables
2: In read.spss(file = sav, to.data.frame = TRUE, stringsAsFactors = FALSE,  :
  Duplicated levels in factor factor_n_duplicated: A
3: In read.spss(file = sav, to.data.frame = TRUE, stringsAsFactors = FALSE,  :
  Undeclared level(s) 2, 3, 4 added in variable: factor_n_undeclared
4: In read.spss(file = sav, to.data.frame = TRUE, stringsAsFactors = FALSE,  :
  Undeclared level(s) 0, 3 added in variable: factor_n_undeclared2
5: In read.spss(file = sav, to.data.frame = TRUE, stringsAsFactors = FALSE,  :
  Undeclared level(s) .. added in variable: factor_s_duplicated
6: In read.spss(file = sav, to.data.frame = TRUE, stringsAsFactors = FALSE,  :
  Duplicated levels in factor factor_s_duplicated: A
7: In read.spss(file = sav, to.data.frame = TRUE, stringsAsFactors = FALSE,  :
  Undeclared level(s) perhaps added in variable: factor_s_undeclared
> 
> cat.long.string <- function(x, w=70) cat(paste(strwrap(x, width=w), "\n"))
> 
> ## first part: x$string_500:
> cat.long.string(x$string_500)
A wonderful serenity has taken possession of my entire soul, like 
 these sweet mornings of spring which I enjoy with my whole heart. I 
 am alone, and feel the charm of existence in this spot, which was 
 created for the bliss of souls like mine. I am so happy 
  
 Far far away, behind the word mountains, far from the countries 
 Vokalia and Consonantia, there live the blind texts. Separated they 
 live in Bookmarksgrove right at the coast of the Semantics, a large 
 language ocean. A small river named Duden flows by thei 
  
 abc def ghi jkl mno pqrs tuv wxyz ABC DEF GHI JKL MNO PQRS TUV WXYZ 
 !".. $%& /() =?* '<> #|; ....~ @`.. ...... ...... {} abc def ghi jkl 
 mno pqrs tuv wxyz ABC DEF GHI JKL MNO PQRS TUV WXYZ !".. $%& /() =?* 
 '<> #|; ....~ @`.. ...... ...... {} abc def ghi j 
> ## second part: x$STRIN0:
> cat.long.string(x$STRIN0)
, my dear friend, so absorbed in the exquisite sense of mere tranquil 
 existence, that I neglect my talents. I should be incapable of 
 drawing a single stroke at the present moment; and yet I feel that I 
 never was a greater artist than now. 
  
 r place and supplies it with the necessary regelialia. It is a 
 paradisematic country, in which roasted parts of sentences fly into 
 your mouth. 
  
 kl mno pqrs tuv wxyz ABC DEF GHI JKL MNO PQRS TUV WXYZ !".. $%& /() 
 =?* '<> #|; ....~ @`.. ...... ...... {} abc def ghi jkl mno pqrs tuv 
 wxyz ABC DEF GHI JKL MNO PQRS TUV WXYZ !".. $%& /() =?* '<> #|; ....~ 
 @`.. ...... ...... {} abc def ghi jkl 
> ## complete long string:
> long.string <- apply(x[,c("string_500", "STRIN0")], 1, paste, collapse="")
> cat.long.string(long.string)
A wonderful serenity has taken possession of my entire soul, like 
 these sweet mornings of spring which I enjoy with my whole heart. I 
 am alone, and feel the charm of existence in this spot, which was 
 created for the bliss of souls like mine. I am so happy, my dear 
 friend, so absorbed in the exquisite sense of mere tranquil 
 existence, that I neglect my talents. I should be incapable of 
 drawing a single stroke at the present moment; and yet I feel that I 
 never was a greater artist than now. 
  
 Far far away, behind the word mountains, far from the countries 
 Vokalia and Consonantia, there live the blind texts. Separated they 
 live in Bookmarksgrove right at the coast of the Semantics, a large 
 language ocean. A small river named Duden flows by their place and 
 supplies it with the necessary regelialia. It is a paradisematic 
 country, in which roasted parts of sentences fly into your mouth. 
  
 abc def ghi jkl mno pqrs tuv wxyz ABC DEF GHI JKL MNO PQRS TUV WXYZ 
 !".. $%& /() =?* '<> #|; ....~ @`.. ...... ...... {} abc def ghi jkl 
 mno pqrs tuv wxyz ABC DEF GHI JKL MNO PQRS TUV WXYZ !".. $%& /() =?* 
 '<> #|; ....~ @`.. ...... ...... {} abc def ghi jkl mno pqrs tuv wxyz 
 ABC DEF GHI JKL MNO PQRS TUV WXYZ !".. $%& /() =?* '<> #|; ....~ @`.. 
 ...... ...... {} abc def ghi jkl mno pqrs tuv wxyz ABC DEF GHI JKL 
 MNO PQRS TUV WXYZ !".. $%& /() =?* '<> #|; ....~ @`.. ...... ...... 
 {} abc def ghi jkl 
> 
> proc.time()
   user  system elapsed 
  0.253   0.023   0.270 
