# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 82
dat <- read.table(text=
"Title Rating Action Sci.Fi
Carrie 4 0 1
Fried-Green-Tomatoes 2 0 0
Amadeus 5 1 0
Amityville-Horror 1 0 0
Dracula 2 0 1
Speed 4 1 0
", header=T)
write.csv(dat, "data-raw/p82_input1.csv", row.names=FALSE)
df_out = dat %>% gather(genre, value, Action, Sci.Fi) %>% filter(value == 1) %>%
group_by(genre) %>% summarize(average = mean(Rating))
write.csv(df_out, "data-raw/p82_output1.csv", row.names=FALSE)
p82_output1 <- read.csv("data-raw/p82_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p82_output1, is.factor)
int.cols <- sapply(p82_output1, is.integer)
p82_output1[, fctr.cols] <- sapply(p82_output1[, fctr.cols], as.character)
p82_output1[, int.cols] <- sapply(p82_output1[, int.cols], as.numeric)
save(p82_output1, file = "data/p82_output1.rdata")
p82_input1 <- read.csv("data-raw/p82_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p82_input1, is.factor)
int.cols <- sapply(p82_input1, is.integer)
p82_input1[, fctr.cols] <- sapply(p82_input1[, fctr.cols], as.character)
p82_input1[, int.cols] <- sapply(p82_input1[, int.cols], as.numeric)
save(p82_input1, file = "data/p82_input1.rdata")
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