R68.R

In fredfeng/MorpheusData: Data sets for Morpheus

# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)

#############benchmark 79
dat <- read.table(text="
   mpg cyl vs am
21.0   6  0  1
21.0   6  0  1
22.8   4  1  1
21.4   6  1  0
18.7   8  0  0
18.1   6  1  0
14.3   8  0  0
24.4   4  1  0", header=T)

write.csv(dat, "data-raw/r68_input1.csv", row.names=FALSE)

df_out = dat %>%
      unite(vs_am, vs, am) %>%
      group_by(vs_am) %>% 
      summarise(countofvalues = n())

write.csv(df_out, "data-raw/r68_output1.csv", row.names=FALSE)

r68_output1 <- read.csv("data-raw/r68_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r68_output1, is.factor)
int.cols <- sapply(r68_output1, is.integer)

r68_output1[, fctr.cols] <- sapply(r68_output1[, fctr.cols], as.character)
r68_output1[, int.cols] <- sapply(r68_output1[, int.cols], as.numeric)
save(r68_output1, file = "data/r68_output1.rdata")

r68_input1 <- read.csv("data-raw/r68_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r68_input1, is.factor)
int.cols <- sapply(r68_input1, is.integer)

r68_input1[, fctr.cols] <- sapply(r68_input1[, fctr.cols], as.character)
r68_input1[, int.cols] <- sapply(r68_input1[, int.cols], as.numeric)
save(r68_input1, file = "data/r68_input1.rdata")