lares (version 4.8.4)

numericalonly: Filter only Numerical Values and

Description

This function lets the user remove all rows that have some or all values as NAs. Note that as logical columns may be treated as numerical (1s and 0s), those will be kept.

Usage

numericalonly(df, dropnacols = TRUE, logs = FALSE, natransform = NA)

Arguments

df

Data.frame

dropnacols

Boolean. Drop columns with only NA values?

logs

Boolean. Calculate log(x)+1 for numerical columns?

natransform

String. "mean" or 0 to impute NA values. If set to NA no calculation will run.

See Also

Other Data Wrangling: balance_data(), categ_reducer(), cleanText(), date_cuts(), date_feats(), dateformat(), formatNum(), formatTime(), holidays(), impute(), left(), normalize(), ohe_commas(), ohse(), rbind_full(), removenacols(), removenarows(), replaceall(), right(), textFeats(), textTokenizer(), vector2text(), year_month(), year_week()

Examples

# NOT RUN {
data(dft) # Titanic dataset
str(dft)
numericalonly(dft) %>% head()
numericalonly(dft, natransform = "mean") %>% head()
# }