| ComputeChisquared {LOGANTree} | R Documentation |
Compute the chi-square scores of features
Description
Compute the chi-square scores of features
Usage
ComputeChisquared(data, outcome, level, weight = FALSE, ctable = FALSE)
Arguments
data |
A dataset containing an outcome variable and action features with either raw frequencies or weighted frequencies. |
outcome |
Name of the outcome variable. |
level |
The level of outcome. e.g. correct/incorrect would be of 2 levels; 0/1/2 would be 3 levels |
weight |
If weight = TRUE, the weighted frequencies will be computed and then be utilized for the chi-square scores ; If weight = F, returning the chisquare scores computed from the raw feature frequencies. |
ctable |
If ctable = TRUE, returning the contingency tables instead of the chi-square scores. |
Value
This function returns a data frame with ranked chi-scores or contingency tables for each feature.
To get the weighted frequencies solely, please run WeightedFeatures() in LOGAN package.
References
He Q., von Davier M. (2015) Identifying Feature Sequences from Process Data in Problem-Solving Items with N-Grams. In: van der Ark L., Bolt D., Wang WC., Douglas J., Chow SM. (eds) Quantitative Psychology Research. Springer Proceedings in Mathematics & Statistics, vol 140. Springer, Cham. https://doi-org.ezproxy.uio.no/10.1007/978-3-319-19977-1_13
Examples
ComputeChisquared(data = cp025q01.wgt[,c(7:13,15)],
outcome = "outcome", level = 2, weight = FALSE, ctable = FALSE)
ComputeChisquared(data = training[,7:14],
outcome = "outcome", level = 2, weight = FALSE, ctable = TRUE)