# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 28
dat <- read.table(text=
"ID T P.1 P.2
1 24.3 10.2 5.5
2 23.4 10.4 5.7
", header=T)
train <- read.table(text=
"id prod clnt order
1 8 5 6.912931
3 2 6 5.119676
4 7 1 7.472010
2 8 4 7.345583
5 8 5 9.412050",
header=T)
test <- read.table(text=
"id prod clnt order
3 2 6 5.119676
5 8 5 9.412050",
header=T)
write.csv(train, "data-raw/p28_input1.csv", row.names=FALSE)
write.csv(test, "data-raw/p28_input2.csv", row.names=FALSE)
newtrain <- select(train, 2:4)
newtest <- select(test, 1:3)
x <- dplyr::inner_join(newtest, newtrain)
y <- dplyr::group_by(x, prod, clnt)
df_out <- dplyr::summarise(y, mean.order=mean(order))
write.csv(df_out, "data-raw/p28_output1.csv", row.names=FALSE)
p28_output1 <- read.csv("data-raw/p28_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p28_output1, is.factor)
int.cols <- sapply(p28_output1, is.integer)
p28_output1[, fctr.cols] <- sapply(p28_output1[, fctr.cols], as.character)
p28_output1[, int.cols] <- sapply(p28_output1[, int.cols], as.numeric)
save(p28_output1, file = "data/p28_output1.rdata")
p28_input1 <- read.csv("data-raw/p28_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p28_input1, is.factor)
int.cols <- sapply(p28_input1, is.integer)
p28_input1[, fctr.cols] <- sapply(p28_input1[, fctr.cols], as.character)
p28_input1[, int.cols] <- sapply(p28_input1[, int.cols], as.numeric)
save(p28_input1, file = "data/p28_input1.rdata")
p28_input2 <- read.csv("data-raw/p28_input2.csv", check.names = FALSE)
fctr.cols <- sapply(p28_input2, is.factor)
int.cols <- sapply(p28_input2, is.integer)
p28_input2[, fctr.cols] <- sapply(p28_input2[, fctr.cols], as.character)
p28_input2[, int.cols] <- sapply(p28_input2[, int.cols], as.numeric)
save(p28_input2, file = "data/p28_input2.rdata")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.