dataquieR (version 2.1.0)

des_scatterplot_matrix: Compute Pairwise Correlations

Description

works on variable groups (cross-item_level), which are expected to show a Pearson correlation

Usage

des_scatterplot_matrix(
  study_data,
  meta_data,
  label_col = LABEL,
  meta_data_cross_item = "cross-item_level"
)

Value

a list with the slots:

• SummaryPlotList: for each variable group a ggplot object with pairwise correlation plots

• SummaryData: table with columns VARIABLE_LIST, cors, max_cor, min_cor

• SummaryTable: like SummaryData, but machine readable and with stable column names.

Arguments

study_data

data.frame the data frame that contains the measurements

meta_data

data.frame the data frame that contains metadata attributes of study data

label_col

variable attribute the name of the column in the metadata with labels of variables

meta_data_cross_item

meta_data_cross

Details

Descriptor # TODO: This can be an indicator

Examples

if (FALSE) {
devtools::load_all()
prep_load_workbook_like_file("meta_data_v2")
des_scatterplot_matrix("study_data")
}