Hi, I would like to go from wide format in the picture where I have 8 columns, to a long format where I end up with three columns (one with prices, one with quantities, and one column with an ID number, and one column with years i guess). p0, p1 etc represents individual products, so I need some sort of an ID number to distinguish the different products.
Do anyone have any suggestions on how to do this?
Here is the data:
p0 <- c(2.97, 2.96, 2.93, 3.03)
q0 <- c(15, 25, 32, 33)
Hi @trymkok ! Without any data I can't provide anything more specific, but you could take a look at the function pivot_longer() from the tidyr package .
Here you have the data:
p0 <- c(2.97, 2.96, 2.93, 3.03)
q0 <- c(15, 25, 32, 33)
Thanks! Something like this?
library(tidyr)
p0 <- c(2.97, 2.96, 2.93, 3.03)
p1 <- c(3.64, 3.50, 3.36, 3.42)
p2 <- c(6.75, 6.71, 6.67, 6.73)
p3 <- c(3.37, 3.29, 3.37, 3.37)
q0 <- c(15, 25, 32, 33)
q1 <- c(44, 79, 65, 90)
q2 <- c(49, 41, 35, 53)
q3 <- c(35, 59, 30, 31)
year <- 2015:2018
data.frame(year, p0, p1, p2, p3, q0, q1, q2, q3) %>%
pivot_longer(cols = -year,
names_to = c(".value", "set"),
names_pattern = "(.)(.)")
gongcastro:
library(tidyr)
p0 <- c(2.97, 2.96, 2.93, 3.03)
p1 <- c(3.64, 3.50, 3.36, 3.42)
p2 <- c(6.75, 6.71, 6.67, 6.73)
p3 <- c(3.37, 3.29, 3.37, 3.37)
q0 <- c(15, 25, 32, 33)
q1 <- c(44, 79, 65, 90)
q2 <- c(49, 41, 35, 53)
q3 <- c(35, 59, 30, 31)
year <- 2015:2018
data.frame(year, p0, p1, p2, p3, q0, q1, q2, q3) %>%
pivot_longer(cols = -year,
names_to = c(".value", "set"),
names_pattern = "(.)(.)")
Nice, thanks! Have a wonderful day!
1 Like
@trymkok would you mind marking my post as solution so we can close this issue? Have a nice day too!
1 Like
system
November 3, 2020, 10:04am
7
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