The goal of edmdata
is to provide a set of an example
assessment data sets for psychometric modeling.
You can install edmdata
from github with:
# install.packages("devtools")
::install_github("tmsalab/edmdata") devtools
items_ecpe
: N = 2922 subject responses to J = 28
items.qmatrix_ecpe
: J = 28 items and K = 3 traits.items_fractions
: N = 536 subject responses to J = 20
items.qmatrix_fractions
: J = 536 items and K = 20
traits.items_probability_part_one
: N = 504 subject responses
to J = 12 items.qmatrix_probability_part_one
: J = 12 items and K = 4
traits.items_revised_psvtr
: N = 516 subject responses to J =
30 items.items_ordered_eclsk_atl
: N = 13354 subject responses to
J = 12 items.items_spm_ls
: N = 499 subject responses to J = 12
items.items_matrix_reasoning
: N = 400 subject responses to J
= 25 items.items_taylor_manifest_anxiety_scale
: N = 4468 subject
responses to J = 50 items.items_narcissistic_personality_inventory
: N = 11243
subject responses to J = 40 items.qmatrix_oracle_k2_j12
: 12 items and 2 traits.qmatrix_oracle_k3_j20
: 20 items and 3 traits.qmatrix_oracle_k4_j20
: 20 items and 4 traits.qmatrix_oracle_k5_j30
: 30 items and 5 traits.strategy_oracle_k3_j20_s2
: 20 items, 3 traits, and 2
strategies.strategy_oracle_k3_j30_s2
: 30 items, 3 traits, and 2
strategies.strategy_oracle_k3_j40_s2
: 40 items, 3 traits, and 2
strategies.strategy_oracle_k3_j50_s2
: 50 items, 3 traits, and 2
strategies.strategy_oracle_k4_j20_s2
: 20 items, 4 traits, and 2
strategies.strategy_oracle_k4_j30_s2
: 30 items, 4 traits, and 2
strategies.strategy_oracle_k4_j40_s2
: 40 items, 4 traits, and 2
strategies.strategy_oracle_k4_j50_s2
: 50 items, 4 traits, and 2
strategies.There are two ways to access the data contained within this package.
The first is to load the package itself and type the name of a data set. This approach takes advantage of R’s lazy loading mechansim, which avoids loading the data until it is used in R session. For details on how lazy loading works, please see Section 1.17: Lazy Loading of the R Internals manual.
# Load the `edmdata` package
library("edmdata")
# See the first 10 observations of the `items_revised_psvtr` dataset
head(items_revised_psvtr)
# View the help documentation for `items_revised_psvtr`
?items_revised_psvtr
The second approach is to use the data()
command to load
data on the fly without loading the package. After using
data()
, the data set will be available to use under the
given name.
# Loading `items_revised_psvtr` without a `library(edmdata)` call
data("items_revised_psvtr", package = "edmdata")
# See the first 10 observations of the `items_revised_psvtr` dataset
head(items_revised_psvtr)
# View the help documentation for `items_revised_psvtr`
?items_revised_psvtr
Want to see how each data set was imported? Check out the data-raw
folder!
James Joseph Balamuta, Steven Andrew Culpepper, Jeffrey Douglas
edmdata
packageTo ensure future development of the package, please cite
edmdata
package if used during an analysis or simulation
study. Citation information for the package may be acquired by using in
R:
citation("edmdata")
MIT