correlationPlot: Compute correlation of ELEs, and plot relevant heatmap...

In saharaja/imputeORS: Impute Missing Values in the BLS Occupational Requirements Survey

Description

Produces a heatmap displaying Pearson correlation between expected values (ELEs) by occupation. The heatmap is arranged according to SOC2 code, so that similar occupations are grouped together.

Usage

correlationPlot(blended.results, plot.dim = 6.5, print.plot = TRUE)

Arguments

blended.results	Blended predictions from imputation models, calculated at convergence iterations and blending proportions computed by computeBlendingRatio() (output of blendImputations())
plot.dim	Length of each side of the plot (in inches); default is 6.5
print.plot	Should plot file (.png) be generated; default is TRUE (create plot file)

Value

A list of length four, containing a data frame of expected values, a correlation matrix, and two plot objects (one where the individual occupations are labeled in addition to the SOC2 group labels, and one where they are not); optionally produces a PDF of the heatmap

See Also

blendImputations()

computeEVs()

stats::cor()

saharaja/imputeORS documentation built on Feb. 4, 2022, 12:27 a.m.