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.
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
combineMatrices
Takes 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 |