# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 32
dat <- data.frame(id=c(101,102,103), a=c(1,2,3), b=c(2,2,2), c=c(3,3,3))
write.csv(dat, "data-raw/p32_input1.csv", row.names=FALSE)
tidy_data = tidyr::gather(dat, name, value, -id)
df_out = tidy_data %>%
group_by(id) %>%
summarize(mean = mean(value)) %>%
inner_join(dat)
write.csv(df_out, "data-raw/p32_output1.csv", row.names=FALSE)
p32_output1 <- read.csv("data-raw/p32_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p32_output1, is.factor)
int.cols <- sapply(p32_output1, is.integer)
p32_output1[, fctr.cols] <- sapply(p32_output1[, fctr.cols], as.character)
p32_output1[, int.cols] <- sapply(p32_output1[, int.cols], as.numeric)
save(p32_output1, file = "data/p32_output1.rdata")
p32_input1 <- read.csv("data-raw/p32_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p32_input1, is.factor)
int.cols <- sapply(p32_input1, is.integer)
p32_input1[, fctr.cols] <- sapply(p32_input1[, fctr.cols], as.character)
p32_input1[, int.cols] <- sapply(p32_input1[, int.cols], as.numeric)
save(p32_input1, file = "data/p32_input1.rdata")
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