des_scatterplot_matrix {dataquieR}R Documentation

Compute Pairwise Correlations

Description

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

Usage

des_scatterplot_matrix(
  label_col,
  study_data,
  item_level = "item_level",
  meta_data_cross_item = "cross-item_level",
  meta_data = item_level,
  meta_data_v2,
  cross_item_level,
  `cross-item_level`
)

Arguments

label_col

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

study_data

data.frame the data frame that contains the measurements

item_level

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

meta_data_cross_item

meta_data_cross

meta_data

data.frame old name for item_level

meta_data_v2

character path to workbook like metadata file, see prep_load_workbook_like_file for details. ALL LOADED DATAFRAMES WILL BE PURGED, using prep_purge_data_frame_cache, if you specify meta_data_v2.

cross_item_level

data.frame alias for meta_data_cross_item

`cross-item_level`

data.frame alias for meta_data_cross_item

Details

Descriptor # TODO: This can be an indicator

Value

a list with the slots:

Examples

## Not run: 
devtools::load_all()
prep_load_workbook_like_file("meta_data_v2")
des_scatterplot_matrix("study_data")

## End(Not run)

[Package dataquieR version 2.5.1 Index]