inspect_map: Classify The Columns of A Data Frame

In cleandata: To Inspect and Manipulate Data; and to Keep Track of This Process

Description

Provide a map for imputation and encoding.

Usage

inspect_map(x, common = 0, message = TRUE)

Arguments

x	The data frame
common	a non-negative numerical parameter, if 2 factorial columns share more than 'common' levels, they share the same scheme. 0 means all the levels should be the same for 2 factorial columns to share the same scheme.
message	Whether print the process.

Value

A list of factor_cols (list), factor_levels (list), num_cols (vector), char_cols (vector), ordered_cols (vector), and other_cols (vector).

factor_cols	a list, in which each member is a vector of the names of the factorial columns that share the same scheme. The name of a vector is the same as its 1st member. Refer to the argument common for more information about scheme.
factor_levels	a list, in which each member is a scheme of the factorial columns. The name of a scheme is the same as its corresponding vector in factor_cols.
num_cols	a vector, in which are the names of the numerical columns.
char_cols	a vector, in which are the names of the string columns.
ordered_cols	a vector, in which are the names of the ordered factorial columns.
other_cols	a vector, in which are the names of the other columns.

See Also

encode, impute

Examples

# building a data frame
A <- as.factor(c('x', 'y', 'z'))
B <- as.ordered(c('z', 'x', 'y'))
C <- as.factor(c('y', 'z', 'x'))
D <- as.factor(c('i', 'j', 'k'))
E <- 5:7
df <- data.frame(A, B, C, D, E)

# inspection
dmap <- inspect_map(df)
summary(dmap)
print(dmap)

cleandata documentation built on May 1, 2019, 10:25 p.m.