# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 38
dat <- read.table(text=
"
id sex trt.1 response.1 trt.2 response.2
1 M A 1 B 1
2 M A 1 B 1
3 F A 1 B 1
4 M A 1 B 1
5 F A 1 B 1
6 M A 1 B 1
", header=T)
write.csv(dat, "data-raw/r37_input1.csv", row.names=FALSE)
df_out = dat %>%
gather(variable, value,
-id,-sex) %>%
separate(variable, c("variableNew", "number")) %>%
spread(variableNew, value)
write.csv(df_out, "data-raw/r37_output1.csv", row.names=FALSE)
r37_output1 <- read.csv("data-raw/r37_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r37_output1, is.factor)
int.cols <- sapply(r37_output1, is.integer)
r37_output1[, fctr.cols] <- sapply(r37_output1[, fctr.cols], as.character)
r37_output1[, int.cols] <- sapply(r37_output1[, int.cols], as.numeric)
save(r37_output1, file = "data/r37_output1.rdata")
r37_input1 <- read.csv("data-raw/r37_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r37_input1, is.factor)
int.cols <- sapply(r37_input1, is.integer)
r37_input1[, fctr.cols] <- sapply(r37_input1[, fctr.cols], as.character)
r37_input1[, int.cols] <- sapply(r37_input1[, int.cols], as.numeric)
save(r37_input1, file = "data/r37_input1.rdata")
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