df_to_numeric: clean data and prepare for pca

In tkimhofer/cleansing: Data cleaning and summary statistics

clean data and prepare for pca

Description

data canversion to numeric, dummy variables for multi-level categorical vars, missing value imputation

Usage

df_to_numeric(t1, df1, imp_cutoff_perc = 25, un_filter_perc = 20)

Arguments

t1	output uf add_summary fct
df1	data.frame to be cleaned
imp_cutoff_perc	percentage of missing values for a variable to be excluded
un_filter_perc	percentage of unique values of a categorical variable to be excluded

Value

data.frame of cleaned numberic variables

tkimhofer/cleansing documentation built on Oct. 25, 2022, 1:12 a.m.