# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 1
dat <- read.table(text=
"custno 1 2 3
100 29.85 49.75 146.70
100 122.70 49.75 39.80
100 0.00 9.95 44.95
", header=T)
write.csv(dat, "data-raw/p23_input1.csv", row.names=FALSE)
df_out = gather(dat, month, spent, -`custno`) %>%
group_by(custno) %>%
summarise(totalspent = sum(spent)) %>%
arrange(desc(totalspent))
write.csv(df_out, "data-raw/p23_output1.csv", row.names=FALSE)
p23_output1 <- read.csv("data-raw/p23_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p23_output1, is.factor)
int.cols <- sapply(p23_output1, is.integer)
p23_output1[, fctr.cols] <- sapply(p23_output1[, fctr.cols], as.character)
p23_output1[, int.cols] <- sapply(p23_output1[, int.cols], as.numeric)
save(p23_output1, file = "data/p23_output1.rdata")
p23_input1 <- read.csv("data-raw/p23_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p23_input1, is.factor)
int.cols <- sapply(p23_input1, is.integer)
p23_input1[, fctr.cols] <- sapply(p23_input1[, fctr.cols], as.character)
p23_input1[, int.cols] <- sapply(p23_input1[, int.cols], as.numeric)
save(p23_input1, file = "data/p23_input1.rdata")
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