reshape_towide: Reshape to Wide Format

In yikeshu0611/do: Data Operator

Description

Reshape to Wide Format

Usage

reshape_towide(data, id, col_change, prefix, suffix, sep = "_")

Arguments

data	long data
id	column names for id, which can be one or more
col_change	column names for exchange, which can be one or more
prefix	column names for prefix, which can be one or more
suffix	column names for suffix, which can be one or more
sep	seperation

Value

A wide data.

Examples

df = data.frame(id = c(1,1,2,2,3,3,4,4),
                time = c(1,2,1,2,1,2,1,2),
                w = c(1,6,2,7,3,8,4,9))

reshape_towide(data = df,
               id = 'id',
               col_change = 'time',
               prefix = 'w')
df = data.frame(id = c(1,1,2,2,3,3,4,4),
         time = c(1,2,1,2,1,2,1,2),
         w = c(1,6,2,7,3,8,4,9),
         h = c(5,1,6,3,7,5,8,7),
         n = c(2,2,3,3,4,4,5,5))

reshape_towide(data = df,
               id = 'id',
               col_change = c('time','n'),
               prefix  = 'w',sep = '_')

reshape_towide(data = df,
               id = 'id',
               col_change = 'time',
               prefix  = c('w','h'))

reshape_towide(data = df,
               id = c('id','n'),
               col_change = 'time',
               prefix  = c('w','h'))

df = data.frame(id = c(1,1,2,2,3,3,4,4),
                time = c('a','a','a','b','b','b','c','c'),
                n=c(5,5,6,6,7,7,8,8))
reshape_towide(data = df,id = 'id',col_change = 'time')
reshape_towide(data = df,id = c('id','time'),col_change = 'n')
reshape_towide(data = df,id = 'id',col_change = c('time','n'))

yikeshu0611/do documentation built on Aug. 5, 2021, 4:17 p.m.