Prepare distinct building blocks, from which the data.frames for the plot-functions can be build by combining them.

Prepare distinct building blocks, from which the data.frames for the plot-functions can be build by combining them.

Usage

prep_data_blocks(data_clean, sig_niveau, states, sub_groups, merging_columns)

Arguments

data_clean

Input data.frame, that has already been cleaned with clean_data().

sig_niveau

Numeric indicating the border, below which p-values will be considered significant. Defaults to 0.05.

states

Character vector of the different states (Bundesländer) found in the data.

sub_groups

Character vector of the different groups found in grouping_var.

merging_columns

Columns that won't get a suffix.

Value

prep_data_blocks() returns a list containing five data.frames which can be used as the building blocks for more specific data.frames needed for the plot() functions. These data.frames contain distinct information, and can be combined according to the requirements of the respective plots. The returned list includes the data.frames:

• noTrend_noComp contains point estimates for every years.

• Trend_Comp contains all trend variables performing some kind of comparison, e.g., state vs. germany.

• trend_no_comp_data contains the trend estimates without comparisons.

• noTrend_noComp_wholeGroup contains the point estimates of the wholeGroup.

• Trend_noComp_wholeGroup contains the trend estimates for the wholeGroup.

Examples

# tbd