NikFord
Reputation: 1
Problems loading Stata 13 and Rdata files. New issue
This morning I was working with some data, and R froze. I restarted and was no longer able to load my data. I am unsure what's going on. I have spent hours. I tried Rstudio and it works, sort of. Not all of my code transfers over to functions in Rstudio. I would rather get this to work in the regular R console.
I'm running
R version 3.4.0 (2017-04-21) -- "You Stupid Darkness"
Copyright (C) 2017 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)
MAC OSX 10.12.5
The data can be found here: http://www.worldvaluessurvey.org/WVSDocumentationWV5.jsp
I'm not using the integrated data because I am running two waves separately - I don't need every wave.
setwd('~/Desktop/')
dat1 <- read.dta13('WV5_data_stata_V_2015_04_18.dta')
#File not found.
dat1 <- read.dta13('WV5_data_stata_V_2015_04_18.dta',convert.factors = TRUE, generate.factors = FALSE, encoding = "UTH-8", fromEncoding =NULL, convert.underscore = FALSE, missing.type = FALSE, convert.dates = TRUE, replace.strl = TRUE, add.rownames = FALSE, nonint.factors = FALSE, select.rows = NULL)
#File not found.
dat1 <- read.dta13('~/Desktop/WV5_data_stata_V_2015_04_18.dta')
#File not found.
dat1 <- read.dta13('WV5_data_stata_V_2015_04_18.dta',convert.factors = TRUE, generate.factors = FALSE, encoding = "UTH-8", fromEncoding =NULL, convert.underscore = FALSE, missing.type = FALSE, convert.dates = TRUE, replace.strl = TRUE, add.rownames = FALSE, nonint.factors = FALSE, select.rows = NULL)
#File not found.
dat1 <- read.dta13('~/Desktop/WV5_data_stata_V_2015_04_18.dta',convert.factors = TRUE, generate.factors = FALSE, encoding = "UTH-8", fromEncoding =NULL, convert.underscore = FALSE, missing.type = FALSE, convert.dates = TRUE, replace.strl = TRUE, add.rownames = FALSE, nonint.factors = FALSE, select.rows = NULL)
#File not found.
dat<- load("WV5_Data_R_v_2015_04_18 2.rdata")
class(dat)
#[1] "character"
#Your version of R is up to date
Upvotes: 0
Views: 266
Answers (1)
IRTFM
Reputation: 263301
Basically you need to learn to use your computer. On a Mac I downloaded the "delimited" file (after giving that webpage an obviously bogus email address), and it was a CSV format:
> dat1 <- read.csv('~/Downloads/F00003607-WV5_Data_ascii_delimited_v_2015_04_18/WV5_Data_ascii_v_2015_04_18.dat', header=FALSE)
> str(dat1)
'data.frame': 83975 obs. of 408 variables:
$ V1 : int 5 5 5 5 5 5 5 5 5 5 ...
$ V2 : int 2 2 2 2 2 2 2 2 2 2 ...
$ V3 : int 2 2 2 2 2 1 2 1 2 2 ...
$ V4 : int 20 20 20 20 20 20 20 20 20 20 ...
$ V5 : int 20 20 20 20 20 20 20 20 20 20 ...
$ V6 : int 1 2 3 5 6 7 8 9 10 11 ...
$ V7 : int 1 1 1 1 1 1 1 1 1 1 ...
$ V8 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V9 : int 1 2 1 2 1 2 1 1 1 1 ...
$ V10 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V11 : int 2 2 1 1 1 2 1 1 1 1 ...
$ V12 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V13 : int 3 4 2 2 4 3 3 4 2 3 ...
$ V14 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V15 : int 2 1 2 1 2 1 2 2 2 2 ...
$ V16 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V17 : int 4 3 4 3 4 2 2 4 2 3 ...
$ V18 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V19 : int 2 2 2 1 2 2 1 2 1 2 ...
$ V20 : int 3 2 2 2 1 2 1 1 2 1 ...
$ V21 : int 1 2 2 2 1 2 1 1 2 1 ...
$ V22 : int 2 2 1 1 1 1 2 2 1 2 ...
$ V23 : int 1 1 1 1 1 1 1 2 1 1 ...
$ V24 : int 2 2 2 1 2 2 1 2 1 1 ...
$ V25 : int 1 1 1 1 1 1 1 1 1 1 ...
$ V26 : int 2 1 2 2 2 2 2 2 2 1 ...
$ V27 : int 2 1 1 2 2 1 2 2 1 2 ...
$ V28 : int 2 2 2 2 2 2 2 2 2 2 ...
$ V29 : int 2 2 1 2 2 2 2 2 2 2 ...
$ V30 : int 2 1 2 1 1 1 1 1 2 2 ...
$ V31 : int 8 8 8 9 8 6 8 9 8 8 ...
$ V32 : int 1 2 2 2 2 1 1 2 2 2 ...
$ V33 : int 1 0 0 1 0 0 1 0 0 0 ...
$ V34 : int 2 0 2 1 0 0 1 2 0 0 ...
$ V35 : int 0 0 2 2 0 0 0 1 0 0 ...
$ V36 : int 1 0 0 0 0 0 0 0 0 0 ...
$ V37 : int 0 0 0 0 0 0 0 0 0 0 ...
$ V38 : int 1 0 2 0 0 0 0 1 0 0 ...
$ V39 : int 0 0 2 0 0 0 0 1 0 0 ...
$ V40 : int 2 0 2 2 0 0 1 1 0 0 ...
$ V41 : int 0 0 0 0 0 0 0 1 0 0 ...
$ V42 : int 0 0 2 0 0 0 0 0 0 0 ...
$ V43 : int 2 1 1 1 1 2 1 1 1 2 ...
$ V44 : int 2 2 2 2 2 2 2 2 2 2 ...
$ V45 : int 2 1 2 2 2 2 2 2 2 2 ...
$ V46 : int 2 1 2 2 2 2 2 2 2 2 ...
$ V47 : int 2 2 2 2 2 2 2 2 2 2 ...
$ V48 : int 2 2 2 2 2 2 2 2 2 2 ...
$ V49 : int 2 1 1 1 1 2 1 1 1 1 ...
$ V50 : int 2 2 2 2 2 2 2 2 2 2 ...
$ V51 : int 2 2 2 2 2 2 2 2 2 2 ...
$ V52 : int 2 2 2 2 2 2 2 2 2 2 ...
$ V53 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V54 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V55 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V56 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V57 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V58 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V59 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V60 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V61 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V62 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V63 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V64 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V65 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V66 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V67 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V68 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V69 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V70 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V71 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V72 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V73 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V74 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V75 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V76 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V77 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V78 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V79 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V80 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V81 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V82 : int -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 ...
$ V83 : int 3 3 3 3 3 3 1 1 3 3 ...
$ V84 : int 3 3 1 2 3 1 1 2 3 2 ...
$ V85 : int 2 7 8 6 10 5 9 9 10 10 ...
$ V86 : int 6 5 6 6 1 7 7 8 9 6 ...
$ V87 : int 4 4 4 2 2 4 2 3 1 4 ...
$ V88 : int 1 1 1 1 4 1 4 2 3 3 ...
$ V89 : int 3 2 2 2 2 3 2 2 1 3 ...
$ V90 : int 3 1 2 3 1 3 3 1 1 4 ...
$ V91 : int 4 2 2 4 1 4 1 3 2 4 ...
$ V92 : int 3 2 2 2 3 3 3 3 1 4 ...
$ V93 : int 3 3 2 3 4 3 4 4 1 5 ...
$ V94 : int 6 1 1 2 6 1 1 6 1 4 ...
$ V95 : int 1 0 4 1 0 2 2 0 1 3 ...
$ V96 : int 2 2 2 2 1 1 1 1 1 2 ...
$ V97 : int 1 2 2 2 2 2 2 2 2 1 ...
$ V98 : int 1 1 1 1 1 1 3 2 2 1 ...
$ V99 : int -1 3 2 2 3 3 2 1 3 3 ...
[list output truncated]
If you feel you really need to use a dta formatted file, then I have had better experience with haven's read_dta than foreign's read.dta. I do admit that it did seem to take way too long for that file import to succeed, but it did. It's a big file, 408 columns:
> dat2 <- read_dta("~/Downloads/F00003601-WV5_Data_stata_dta_v_2015_04_18/WV5_Data_stata_v_2015_04_18.dta")
> names(dat2)
[1] "V1" "V1A" "V1B" "V2" "V2A"
[6] "V3" "V4" "V4_CO" "V5" "V5_CO"
[11] "V6" "V6_CO" "V7" "V7_CO" "V8"
[16] "V8_CO" "V9" "V9_CO" "V10" "V11"
[21] "V12" "V13" "V14" "V15" "V16"
[26] "V17" "V18" "V19" "V20" "V21"
[31] "V22" "V23" "V24" "V25" "V26"
[36] "V27" "V28" "V29" "V30" "V31"
[41] "V32" "V33" "V34" "V35" "V36"
[46] "V37" "V38" "V39" "V40" "V41"
[51] "V42" "V43" "V43_01" "V43_02" "V43_03"
[56] "V43_04" "V43_05" "V43_06" "V43_07" "V43_08"
[61] "V43_09" "V43_10" "V43_11" "V43_12" "V43_13"
[66] "V43_14" "V43_15" "V43_16" "V43_17" "V43_18"
[71] "V43_19" "V43_20" "V43_21" "V43_22" "V43_23"
[76] "V43_24" "V43_25" "V43_26" "V43_27" "V43_28"
[81] "V43_29" "V43_30" "V44" "V45" "V46"
[86] "V47" "V48" "V49" "V50" "V51"
[91] "V52" "V53" "V54" "V55" "V56"
[96] "V57" "V58" "V59" "V60" "V61"
[101] "V62" "V63" "V64" "V65" "V66"
[106] "V67" "V68" "V69" "V69_HK" "V70"
[111] "V70_HK" "V71" "V72" "V73" "V73_HK"
[116] "V74" "V74_HK" "V75" "V76" "V77"
[121] "V78" "V79" "V80" "V81" "V82"
[126] "V83" "V84" "V85" "V86" "V87"
[131] "V88" "V89" "V90" "V91" "V92"
[136] "V93" "V94" "V95" "V96" "V97"
[141] "V98" "V99" "V100" "V101" "V102"
[146] "V103" "V104" "V105" "V106" "V107"
[151] "V108" "V109" "V110" "V111" "V112"
[156] "V113" "V114" "V115" "V116" "V117"
[161] "V118" "V119" "V120" "V121" "V122"
[166] "V123" "V124" "V125" "V126" "V127"
[171] "V128" "V129" "V130" "V130_CA_1" "V130_IQ_1"
[176] "V130_IQ_2" "V130_IQ_3" "V130_IQ_4" "V130_NZ_1" "V130_NZ_2"
[181] "V131" "V132" "V133" "V134" "V135"
[186] "V136" "V137" "V138" "V139" "V140"
[191] "V141" "V142" "V143" "V144" "V145"
[196] "V146_00" "V146_01" "V146_02" "V146_03" "V146_04"
[201] "V146_05" "V146_06" "V146_07" "V146_08" "V146_09"
[206] "V146_10" "V146_11" "V146_12" "V146_13" "V146_14"
[211] "V146_15" "V146_16" "V146_17" "V146_18" "V146_19"
[216] "V146_20" "V146_21" "V146_22" "V147" "V148"
[221] "V149" "V150" "V151" "V151_IQ_A" "V151_IQ_B"
[226] "V152" "V153" "V154" "V155" "V156"
[231] "V157" "V158" "V159" "V160" "V161"
[236] "V162" "V163" "V164" "V165" "V166"
[241] "V167" "V168" "V169" "V170" "V171"
[246] "V172" "V173" "V174" "V175" "V176"
[251] "V177" "V178" "V179" "V180" "V181"
[256] "V182" "V183" "V184" "V185" "V186"
[261] "V187" "V188" "V189" "V190" "V191"
[266] "V192" "V193" "V194" "V195" "V196"
[271] "V197" "V198" "V199" "V200" "V201"
[276] "V202" "V203" "V204" "V205" "V206"
[281] "V207" "V208" "V209" "V210" "V211"
[286] "V212" "V213A" "V213B" "V213C" "V213D"
[291] "V213E" "V213F" "V213G" "V213H" "V213K"
[296] "V213L" "V213M" "V213N" "V214" "V215"
[301] "V216" "V217" "V218" "V219" "V220"
[306] "V221" "V222" "V223" "V224" "V225"
[311] "V226" "V227" "V228" "V229" "V230"
[316] "V231" "V232" "V233" "V233A" "V234"
[321] "V235" "V236" "V237" "V238" "V238CS"
[326] "V239" "V240" "V241" "V242" "V242A_CO"
[331] "V243" "V244" "V245" "V246" "V247"
[336] "V248" "V249" "V250" "V251" "V252"
[341] "V252B" "V253" "V253CS" "V254" "V255"
[346] "V255CS" "V256" "V257" "V257B" "V257C"
[351] "V258" "V259" "V259A" "V260" "V261"
[356] "V262" "V263" "V264" "V265" "V266"
[361] "V267" "Y001" "Y002" "Y003" "sacsecval"
[366] "secvalwgt" "resemaval" "weightb" "I_AUTHORITY" "I_NATIONALISM"
[371] "I_DEVOUT" "defiance" "WEIGHT1A" "I_RELIGIMP" "I_RELIGBEL"
[376] "I_RELIGPRAC" "disbelief" "WEIGHT2A" "I_NORM1" "I_NORM2"
[381] "I_NORM3" "relativism" "WEIGHT3A" "I_TRUSTARMY" "I_TRUSTPOLICE"
[386] "I_TRUSTCOURTS" "scepticism" "WEIGHT4A" "I_INDEP" "I_IMAGIN"
[391] "I_NONOBED" "autonomy" "WEIGHT1B" "I_WOMJOB" "I_WOMPOL"
[396] "I_WOMEDU" "equality" "WEIGHT2B" "I_HOMOLIB" "I_ABORTLIB"
[401] "I_DIVORLIB" "choice" "WEIGHT3B" "I_VOICE1" "I_VOICE2"
[406] "I_VOI2_00" "voice" "WEIGHT4B"
Upvotes: 1
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