meltDataFrame: Melt a dataframe having all the datasets' feature and...

In gurol/DsFeatFreqComp: Dataset Feature-Frequency Comparison

Description

Melt (transform) a dataframe into the following structure (transactions) and return it. identity_columns become variable and values under each dataset column becomes 'value'.

Usage

meltDataFrame(df, identity_columns = names(df)[1])

Arguments

df	Data frame with Feature_name column and feature frequency per dataset
identity_columns	Column name for the feature name (default first column's name)

Details

Feature_Name | DSA | DS0 | DS1 | ... | DSN ABC | 0.1 | 0.3 | 0.999 | 0.76 | ... | 0.444

into a feature per single dataset per value rows. For example

Feature_Name | variable | value ABC | DSA | 0.1 ... | DSA | ... ABC | DS0 | 0.3 ... | DS0 | ... ABC | DS1 | 0.999 ... | DS1 | ... ... ABC | DSN | 0.444 ... | DSN | ....

Value

data frame

Note

To change original column (dataset) order use df[,c(1, 8, 2:7)] which moves the last column (i.e. dataset) into the second column.

Examples

df_melted <- meltDataFrame(df)

gurol/DsFeatFreqComp documentation built on Dec. 30, 2020, 3:36 p.m.