plotCorrelations function

plotCorrelations

Plot the correlation of imputed values between every combination of datasets for each variable.

plotCorrelations(
  miceObj,
  vars = names(miceObj$callParams$vars),
  factCorrMetric = "CramerV",
  numbCorrMetric = "pearson",
  ...
)

Arguments

• miceObj: an object of class miceDefs, created by the miceRanger function.

• vars: the variables you want to plot. Default is to plot all variables. Can be a vector of variable names, or one of 'allNumeric' or 'allCategorical'

• factCorrMetric: The correlation metric for categorical variables. Can be one of:

  • "CramerV" Cramer's V correlation metric.
  • "Chisq" Chi Square test statistic.
  • "TschuprowT" Tschuprow's T correlation metric.
  • "Phi" (Binary Variables Only) Phi coefficient.
  • "YuleY" (Binary Variables Only) Yule's Y, also known as coefficient of colligation
  • "YuleQ" (Binary Variables Only) Yule's Q, related to Yule's Y by Q=2Y/(1+Y^2)

• numbCorrMetric: The correlation metric for numeric variables. Can be one of:

  • "pearson" Pearson's Correlation Coefficient
  • "spearman" Spearman's Rank Correlation Coefficient
  • "kendall" Kendall's Rank Correlation Coefficient
  • "Rsquared" R-squared

• ...: Other arguments to pass to ggarrange()

Returns

an object of class ggarrange.

Examples

data("sampleMiceDefs")
plotCorrelations(sampleMiceDefs)