R98.R

In fredfeng/MorpheusData: Data sets for Morpheus

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

#############benchmark 1
dat <- read.table(text=
"
      Title    MISC    Rating    Action    Sci.Fi
      Carrie    A    4    10    20
      Fried-Green-Tomatoes    B    2    11    21
      Amadeus    C    5    12    22
      Amityville-Horror    D    1    13    23
      Dracula    E    2    14    24
      Speed    F    4    15    25
", header=T)

write.csv(dat, "data-raw/r98_input1.csv", row.names=FALSE)

df_out <- read.table(text=
"
      genre    average
      Action    4
      Sci.Fi    3
", header=T)


##df_out = dat %>% gather(var, val, -1) %>% filter(val!=0) %>% select(-3) 
#%>% arrange(order_id)

write.csv(df_out, "data-raw/r98_output1.csv", row.names=FALSE)

r98_output1 <- read.csv("data-raw/r98_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r98_output1, is.factor)
int.cols <- sapply(r98_output1, is.integer)

r98_output1[, fctr.cols] <- sapply(r98_output1[, fctr.cols], as.character)
r98_output1[, int.cols] <- sapply(r98_output1[, int.cols], as.numeric)
save(r98_output1, file = "data/r98_output1.rdata")

r98_input1 <- read.csv("data-raw/r98_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r98_input1, is.factor)
int.cols <- sapply(r98_input1, is.integer)

r98_input1[, fctr.cols] <- sapply(r98_input1[, fctr.cols], as.character)
r98_input1[, int.cols] <- sapply(r98_input1[, int.cols], as.numeric)
save(r98_input1, file = "data/r98_input1.rdata")