I wonder if there is a way for my DATA to be reformatted to my Desired_output below?
Specifically, for each unique study, we stick together a pair of pre and postNUMBER together, separately for T and C.
ps. If a unique study in DATA, didn't have a pre (only consisted of postNUMBER) or postNUMBER (only consisted of pre), we simply leave it out (in this case, Jasmi and Zill studies are left out).
I tried the following without success:
DATA <- read.table(header=TRUE,text="
study year mT sdT nT mC sdC nC time
Al_Ajmi 2015 1.68 1.07 25 1.44 1.08 31 pre
Al_Ajmi 2015 7.4 2.22 25 1.08 1.12 31 post1
Al_Ajmi 2015 8.08 1.75 25 1.48 1.08 31 post2
Jasmi 2020 1.3 1 30 2 1 30 pre
Zill 2019 2 1 41 3 2 32 post1
Zill 2019 3 3 41 1 1 32 post2")
Desired_output <- read.table(header=T, text="
study year time group n mpre mpost sdpre sdpost
Al_Ajmi 2015 pre-post1 T 25 1.68 7.4 1.07 2.22
Al_Ajmi 2015 pre-post2 T 25 1.68 8.08 1.07 1.75
Al_Ajmi 2015 pre-post1 C 31 1.44 1.08 1.08 1.12
Al_Ajmi 2015 pre-post2 C 31 1.44 1.48 1.08 1.08
")
# I tried the following without success:
library(tidyverse)
dat8 <- DATA %>% pivot_longer(nT:sdC,
names_to = c(".value","group"),
names_pattern = "(n|m|sd)(T|C)")
output <-
left_join(filter(dat8, time !="pre"),
filter(dat8, time =="pre"),
by = c("study","group"),
suffix= c("post","pre") ) %>%
select(study:sdpost,npre:sdpre) %>%
rename_with(~str_remove(.,"post"), -c("mpost","sdpost")) %>%
mutate(time=recode(time, "post1"="pre-post1", "post2"="pre-post2")) %>%
arrange(study, group)
You are not pivotting all the columns:
dat8 <- DATA %>% pivot_longer(
mT:nC, # change here
names_to = c(".value", "group"),
names_pattern = "(m|n|sd)(T|C)"
)
Everything else seems correct?