This is a short introduction to the SAPA data set. The full list of personality items may be found in the itemInfo object. Here I show the names of the 45 demographic variables.
library(psych) #make psych activeWith your browser, go to the file https://personality-project.org/courses/371/sapa.dictionary.rda
and move it to your computer.
Then, use the read.file function to find it and load it. fn <- file.choose() read.file(fn) #this gets the dictionary
fn <- "/Users/WR/Downloads/sapa.dictionary.rda"
read.file(fn)## The file(s) in /Users/WR/Downloads/sapa.dictionary.rda have been loaded into your environment.## [1] "/Users/WR/Downloads/sapa.dictionary.rda"dim(ItemInfo)## [1] 4475 17headTail(ItemInfo[1:5]) #this is just the first and last few lines## Item IPIP100 BFAS HEXACO QB6
## q_1 Abuse peoples confidences. NULL NULL NULL NULL
## q_2 Accept apologies easily. NULL NULL NULL NULL
## q_3 Accept challenging tasks. NULL NULL NULL NULL
## q_4 Accept little from others. NULL NULL NULL NULL
## ... <NA> <NA> <NA> <NA> <NA>
## q_4472 I am someone who is inventive, finds clever ways to do things. NULL NULL NULL NULL
## q_4473 I am someone who is original, comes up with new ideas. NULL NULL NULL NULL
## q_4474 I am someone who has little creativity. NULL NULL NULL NULL
## q_4475 I am someone who has difficulty imagining things. NULL NULL NULL NULLI am now going to get the data and show the first 50 columns
fn1 <- "/Users/WR/Box Sync/pmc_folder/SAPA items/latest sapa/SAPAdata18aug2010thru7feb2017.rdata"
read.file(fn1)## The file(s) in /Users/WR/Box Sync/pmc_folder/SAPA items/latest sapa/SAPAdata18aug2010thru7feb2017.rdata have been loaded into your environment.## [1] "/Users/WR/Box Sync/pmc_folder/SAPA items/latest sapa/SAPAdata18aug2010thru7feb2017.rdata"ls()## [1] "fn" "fn1" "ItemInfo"
## [4] "ItemLists" "keys.list" "SAPAdata18aug2010thru7feb2017"sapa <- SAPAdata18aug2010thru7feb2017
colnames(sapa)[1:45]## [1] "RID" "gender" "age" "marstatus" "relstatus"
## [6] "height" "weight" "BMI" "exer" "smoke"
## [11] "country" "state" "ethnic" "zip" "education"
## [16] "discipline" "major" "jobstatus" "jobfield" "jobFldPrestige"
## [21] "jobFldIncome" "occupation" "occPrestige" "occIncomeEst" "p1occ"
## [26] "p1occPrestige" "p1occIncomeEst" "p1edu" "p2occ" "p2occPrestige"
## [31] "p2occIncomeEst" "p2edu" "ZCTA" "ZCTAcounty" "ZCTAstate"
## [36] "zipState" "zipCity" "ZCTAlat" "ZCTAlon" "Pop"
## [41] "PopDensity" "MedInc" "logMedInc" "Gini" "EthDiv"#show the kind of data that we have
headTail(sapa[1:45])## RID gender age marstatus relstatus height weight BMI exer smoke country
## 1 52392 female 43 DivSingle committed <NA> <NA> <NA> <NA> <NA> USA
## 2 71592 female 18 neverMarried committed <NA> <NA> <NA> <NA> <NA> CAN
## 3 78233 male 32 domesticPrtnr committed 68 148 22.5 <NA> <NA> USA
## 4 89104 female 21 neverMarried committed <NA> <NA> <NA> <NA> <NA> USA
## ... ... <NA> ... <NA> <NA> ... ... ... <NA> <NA> <NA>
## 255345 2147454037 female 19 neverMarried committed 67 103 16.13 <NA> <NA> USA
## 255346 2147455317 male 64 married committed 68 198 30.1 <NA> <NA> USA
## 255347 2147479761 male 17 neverMarried notCommitted 69 148 21.85 3or5wk never USA
## 255348 2147481734 female 45 married committed 64 118 20.25 <NA> <NA> USA
## state ethnic zip education discipline
## 1 Florida AfrAmer <NA> CurrentInUniv Business
## 2 Alberta <NA> <NA> HSgrad <NA>
## 3 New York Prican <NA> CurrentInUniv Social Sciences
## 4 California MexAmer <NA> CurrentInUniv Business
## ... <NA> <NA> ... <NA> <NA>
## 255345 Louisiana White <NA> CurrentInUniv <NA>
## 255346 Texas White <NA> CollegeDegree Social Sciences
## 255347 Washington Prican 98053 less12yrs <NA>
## 255348 Illinois White <NA> CurrentInUniv Social Sciences
## major jobstatus jobfield jobFldPrestige
## 1 Business Administration and Management Homemaker <NA> <NA>
## 2 <NA> student <NA> <NA>
## 3 Criminology student <NA> <NA>
## 4 Accounting student <NA> <NA>
## ... <NA> <NA> <NA> ...
## 255345 <NA> student <NA> <NA>
## 255346 Other Social Sciences Major Employed ArtsDesignEntnSportsMedia 67.72
## 255347 <NA> student <NA> <NA>
## 255348 Psychology Homemaker <NA> <NA>
## jobFldIncome occupation occPrestige occIncomeEst p1occ p1occPrestige
## 1 <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> Military 67.85
## 4 <NA> <NA> <NA> <NA> InstallMntnceRepair 43.3
## ... ... <NA> ... ... <NA> ...
## 255345 <NA> <NA> <NA> <NA> BusinFinanOperations 67.12
## 255346 55790 Writer 70 60250 Management 63.85
## 255347 <NA> <NA> <NA> <NA> Management 63.85
## 255348 <NA> <NA> <NA> <NA> ConstructionExtraction 42.08
## p1occIncomeEst p1edu p2occ p2occPrestige p2occIncomeEst
## 1 <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA>
## 3 <NA> CollegeDegree <NA> <NA> <NA>
## 4 45220 <NA> <NA> <NA> <NA>
## ... ... <NA> <NA> ... ...
## 255345 72410 HSgrad FarmingFishingForestry 38.66 25160
## 255346 112490 SomeCollege <NA> <NA> <NA>
## 255347 112490 <NA> <NA> <NA> <NA>
## 255348 46600 HSgrad ArtsDesignEntnSportsMedia 67.72 55790
## p2edu ZCTA ZCTAcounty ZCTAstate zipState zipCity ZCTAlat ZCTAlon Pop PopDensity
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 less12yrs <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## ... <NA> ... ... <NA> <NA> <NA> ... ... ... ...
## 255345 HSgrad <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 255346 SomeCollege <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 255347 <NA> 98053 53033 WA WA Redmond 47.67 -122.01 18784 662.22
## 255348 CollegeDegree <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## MedInc logMedInc Gini EthDiv
## 1 <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA>
## ... ... ... ... ...
## 255345 <NA> <NA> <NA> <NA>
## 255346 <NA> <NA> <NA> <NA>
## 255347 116518 11.67 0.41 0.27
## 255348 <NA> <NA> <NA> <NA>