Hello I have a dataset of 3-5 rows per group as the following and I want to put some columns in a longer format and have on column in a wider format.
The first dataset below represents the original format and I want to transform it to the second one. I have used pivot wider cols = c("Jan", "Feb") but i can't manage to pivot the Type column to be longer at the same time.
data <- as.data.frame(matrix(ncol=5, nrow=6))
colnames(data) <- c("names", "group", "Type", "Jan", "Feb")
data$names <- c("P1", "P1", "P1", "P2", "P2", "P2")
data$group <- "S"
data$Type <- c("Beg", "Middle", "End", "Beg", "Middle", "End")
data$Jan <- c(1, 2, 3, 10, 5, 15)
data$Feb <- c(5, 5, 10, 5, 2, 7)
names group Type Jan Feb
1 P1 S Beg 1 5
2 P1 S Middle 2 5
3 P1 S End 3 10
4 P2 S Beg 10 5
5 P2 S Middle 5 2
6 P2 S End 15 7
data_transformed <- as.data.frame(matrix(ncol=6, nrow=4))
colnames(data_transformed) <- c("names", "group", "Month", "Beg", "Middle", "End")
data_transformed$names <- c("P1", "P1", "P2", "P2")
data_transformed$group <- "S"
data_transformed$Month <- c("Jan", "Feb")
data_transformed$Beg <- c(1, 10, 5, 5)
data_transformed$Middle <- c(2, 5, 5, 2)
data_transformed$End <- c(2, 15, 10, 7)
names group Month Beg Middle End
1 P1 S Jan 1 2 2
2 P1 S Feb 10 5 15
3 P2 S Jan 5 5 10
4 P2 S Feb 5 2 7
Here, we need a pivot_longer + pivot_wider i.e. first reshape to 'long' with cols Jan to 'Feb', then reshape the long back to wider format with column names from 'Type'
library(dplyr)
library(tidyr)
data %>%
pivot_longer(cols = Jan:Feb, names_to = 'Month') %>%
pivot_wider(names_from = Type, values_from = value)
-output
# A tibble: 4 x 6
# names group Month Beg Middle End
# <chr> <chr> <chr> <dbl> <dbl> <dbl>
#1 P1 S Jan 1 2 3
#2 P1 S Feb 5 5 10
#3 P2 S Jan 10 5 15
#4 P2 S Feb 5 2 7
Or use recast from reshape2
library(reshape2)
recast(data, measure = c("Jan", "Feb"),
names + group + variable ~ Type, values.var = 'value')