# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 36
dat <- read.table(text=
"
name1 con1_1 con1_2 con2_1 con2_2
a 23 33 23 40
b 25 34 22 50
c 28 29 30 60
", header=T)
write.csv(dat, "data-raw/r35_input1.csv", row.names=FALSE)
df_out = dat %>%
gather(var, val, -name1) %>%
separate(var, c("var", "time")) %>%
group_by(name1, var) %>%
summarise(mVal = mean(val)) %>%
spread(var, mVal)
write.csv(df_out, "data-raw/r35_output1.csv", row.names=FALSE)
r35_output1 <- read.csv("data-raw/r35_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r35_output1, is.factor)
int.cols <- sapply(r35_output1, is.integer)
r35_output1[, fctr.cols] <- sapply(r35_output1[, fctr.cols], as.character)
r35_output1[, int.cols] <- sapply(r35_output1[, int.cols], as.numeric)
save(r35_output1, file = "data/r35_output1.rdata")
r35_input1 <- read.csv("data-raw/r35_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r35_input1, is.factor)
int.cols <- sapply(r35_input1, is.integer)
r35_input1[, fctr.cols] <- sapply(r35_input1[, fctr.cols], as.character)
r35_input1[, int.cols] <- sapply(r35_input1[, int.cols], as.numeric)
save(r35_input1, file = "data/r35_input1.rdata")
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