R Dataset / Package psych / epi.bfi
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dataset-28433.csv | 8.76 KB |
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On this Picostat.com statistics page, you will find information about the epi.bfi data set which pertains to 13 personality scales from the Eysenck Personality Inventory and Big 5 inventory. The epi.bfi data set is found in the psych R package. Try to load the epi.bfi data set in R by issuing the following command at the console data("epi.bfi"). This may load the data into a variable called epi.bfi. If R says the epi.bfi data set is not found, you can try installing the package by issuing this command install.packages("psych") and then attempt to reload the data with library("psych") followed by data("epi.bfi"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing epi.bfi at the command-line which should display the entire dataset. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the epi.bfi R data set. The size of this file is about 8,971 bytes. 13 personality scales from the Eysenck Personality Inventory and Big 5 inventoryDescriptionA small data set of 5 scales from the Eysenck Personality Inventory, 5 from a Big 5 inventory, a Beck Depression Inventory, and State and Trait Anxiety measures. Used for demonstrations of correlations, regressions, graphic displays. Usagedata(epi.bfi) FormatA data frame with 231 observations on the following 13 variables.
DetailsSelf report personality scales tend to measure the “Giant 2" of Extraversion and Neuroticism or the “Big 5" of Extraversion, Neuroticism, Agreeableness, Conscientiousness, and Openness. Here is a small data set from Northwestern University undergraduates with scores on the Eysenck Personality Inventory (EPI) and a Big 5 inventory taken from the International Personality Item Pool. SourceData were collected at the Personality, Motivation, and Cognition Lab (PMCLab) at Northwestern by William Revelle) Referenceshttp://personality-project.org/pmc.html Examplesdata(epi.bfi) pairs.panels(epi.bfi[,1:5]) describe(epi.bfi) -- Dataset imported from https://www.r-project.org. |
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R Output | Date |
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Picostat Output - Cumulative Frequency Histogram | Dec 20, 2022 |
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