# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 1
dat <- read.table(text=
"V51 Hour Group
1 02:00:00 SBT
1 08:00:00 SBS
9 08:00:00 SBS
4 18:00:00 SBS
2 06:00:00 SBI
6 11:00:00 SBT
4 18:00:00 SBS
6 10:00:00 SBI
", header=T)
write.csv(dat, "data-raw/r66_input1.csv", row.names=FALSE)
df_out = dat %>%
filter(Group=='SBS') %>%
group_by(Hour) %>%
summarise(sum = sum(V51)) %>%
select(-Hour)
write.csv(df_out, "data-raw/r66_output1.csv", row.names=FALSE)
r66_output1 <- read.csv("data-raw/r66_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r66_output1, is.factor)
int.cols <- sapply(r66_output1, is.integer)
r66_output1[, fctr.cols] <- sapply(r66_output1[, fctr.cols], as.character)
r66_output1[, int.cols] <- sapply(r66_output1[, int.cols], as.numeric)
save(r66_output1, file = "data/r66_output1.rdata")
r66_input1 <- read.csv("data-raw/r66_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r66_input1, is.factor)
int.cols <- sapply(r66_input1, is.integer)
r66_input1[, fctr.cols] <- sapply(r66_input1[, fctr.cols], as.character)
r66_input1[, int.cols] <- sapply(r66_input1[, int.cols], as.numeric)
save(r66_input1, file = "data/r66_input1.rdata")
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