psychTools: psychTools: datasets and utility functions to accompany the...
In psychTools: Tools to Accompany the 'psych' Package for Psychological Research

psychTools

R Documentation

psychTools: datasets and utility functions to accompany the psych package

Description

PsychTools includes the larger data sets used by the psych package and also includes a few general utility functions such as the read.file and read.clipboard functions. The data sets ara made available for demonstrations of a variety of psychometric functions.

Details

See the various helpfiles listed in the index or as links from here. Also see the main functions in the psych package 00.psych-package.

Data sets from the SAPA/ICAR project:

`ability`	16 ICAR ability items scored as correct or incorrect for 1525 participants.
`iqitems`	multiple choice IQ items (raw responses)
`affect`	Two data sets of affect and arousal scores as a function of personality and movie conditions
`bfi`	25 Personality items representing 5 factors from the SAPA project for 2800 participants
bfi.dictionary	Dictionary of the bfi
`big5.100.adjectives` 100 adjectives describing the "big 5" for 502 subjects (from Goldberg) `colom`	Correlations from the Spanish WAIS (14 scales)
`eminence`	Eminence of 69 American Psychologists
`epi`	Eysenck Personality Inventory (EPI) data for 3570 participants
epi.dictionary	The items for the epi
`epi.bfi`	13 personality scales from the Eysenck Personality Inventory and Big 5 inventory
`epiR`	474 participants took the epi twice
`msq`	75 mood items from the Motivational State Questionnaire for 3896 participants
`msqR`	75 mood items from the Motivational State Questionnaire for 3032 unique participants
`tai`	Trait Anxiety data from the PMC lab matching the sai sample. 3032 unique subjects
`sai`	State Anxiety data from the PMC lab over multiple occasions. 3032 unique subjects.
sai.dictionary	items used in the sai
`spi`	4000 cases from the SAPA Personality Inventory (135 items, 10 demographics) including an item dictionary and scoring keys.
spi.dictionary	The items for the spi
spi.keys	Scoring keys for the spi

Historically interesting data sets

`burt`	11 emotional variables from Burt (1915)
`galton`	Galtons Mid parent child height data
`heights`	A data.frame of the Galton (1888) height and cubit data set
`cubits`	Galtons example of the relationship between height and cubit or forearm length
`peas`	Galtons Peas
`cushny`	The data set from Cushny and Peebles (1905) on the effect of three drugs on hours of sleep, used by Student (1908)
`holzinger.swineford`	26 cognitive variables + 7 demographic variables for 301 cases from Holzinger and Swineford.

Miscellaneous example data sets

`blant`	A 29 x 29 matrix that produces weird factor analytic results
`blot`	Bonds Logical Operations Test - BLOT
`cities`	Distances between 11 US cities
city.location	and their geograpical location
`income`	US family income from US census 2008
all.income	US family income from US census 2008
`neo`	NEO correlation matrix from the NEO_PI_R manual
`Schutz`	The Schutz correlation matrix example from Shapiro and ten Berge
`Spengler`	The Spengler and Damian correlation matrix example from Spengler, Damian and Roberts (2018)
`Damian`	Another correlation matrix from Spengler, Damian and Roberts (2018)
`usaf`	A correlation of 17 body size (anthropometric) measures from the US Air Force. Adapted from the Anthropometric package.
veg	Paired comparison of preferences for 9 vegetables (scaling example)

Functions to convert various objects to latex

`fa2latex`	Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table
`df2latex`	Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table
`ICC2latex`	Convert an ICC analyssis output to a LaTeX table
`irt2latex`	Convert an irt analysis output to a LaTeX table
`cor2latex`	Convert a correlation matrix output to a LaTeX table
`omega2latex`	Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table

File manipulation functions

`fileCreate`	Create a file
fileScan	Show the first few lines of multitple files
filesInfo	Show the information for all files in a directory
filesList	Show the names of all files in a directory

dfOrder Sorts a data frame vJoin Combine two matrices or data frames into one based upon variable labels combineMatricesTakes a square matrix (x) and combines with a rectangular matrix y to produce a larger xy matrix.

File input/output functions

`read.clipboard`	Shortcuts for reading from the clipboard or a file
read.clipboard.csv
read.clipboard.fwf
read.clipboard.lower
read.clipboard.tab
read.clipboard.upper
`read.file`	Read a file according to its suffix
read.file.csv
read.https
`write.file`	Write data to a file
write.file.csv