# making table data sets
library(dplyr)
library(tidyr)
library(data.table)
library(MorpheusData)
#############benchmark 57
dat <-
data.table(
data.frame(
key = c("id1","id2","id3","id4","id5"),
c1.min = 10:14,
c1.max = 4:8,
c2.max = 16:20))
write.csv(dat, "data-raw/p57_input1.csv", row.names=FALSE)
df_out = dat %>%
gather(k, v, -key) %>%
separate(k, into = c("l", "s")) %>%
group_by(key, l) %>%
summarise(value = sum(v)) %>%
spread(l, value)
write.csv(df_out, "data-raw/p57_output1.csv", row.names=FALSE)
p57_output1 <- read.csv("data-raw/p57_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p57_output1, is.factor)
int.cols <- sapply(p57_output1, is.integer)
p57_output1[, fctr.cols] <- sapply(p57_output1[, fctr.cols], as.character)
p57_output1[, int.cols] <- sapply(p57_output1[, int.cols], as.numeric)
save(p57_output1, file = "data/p57_output1.rdata")
p57_input1 <- read.csv("data-raw/p57_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p57_input1, is.factor)
int.cols <- sapply(p57_input1, is.integer)
p57_input1[, fctr.cols] <- sapply(p57_input1[, fctr.cols], as.character)
p57_input1[, int.cols] <- sapply(p57_input1[, int.cols], as.numeric)
save(p57_input1, file = "data/p57_input1.rdata")
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