# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 1
dat <- read.table(text=
"Name Month Rate1 Rate2
Aira 1 12 23
Aira 2 18 73
Ben 1 53 19
Ben 2 22 87
Cat 1 22 87
Cat 2 67 43
", header=T)
write.csv(dat, "data-raw/r8_input1.csv", row.names=FALSE)
a1 = group_by(dat, Name) %>% summarize(avg1=mean(Rate1))
a2 = group_by(dat, Name) %>% summarize(avg2=mean(Rate2))
df_out = inner_join(a1,a2)
write.csv(df_out, "data-raw/r8_output1.csv", row.names=FALSE)
r8_output1 <- read.csv("data-raw/r8_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r8_output1, is.factor)
int.cols <- sapply(r8_output1, is.integer)
r8_output1[, fctr.cols] <- sapply(r8_output1[, fctr.cols], as.character)
r8_output1[, int.cols] <- sapply(r8_output1[, int.cols], as.numeric)
save(r8_output1, file = "data/r8_output1.rdata")
r8_input1 <- read.csv("data-raw/r8_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r8_input1, is.factor)
int.cols <- sapply(r8_input1, is.integer)
r8_input1[, fctr.cols] <- sapply(r8_input1[, fctr.cols], as.character)
r8_input1[, int.cols] <- sapply(r8_input1[, int.cols], as.numeric)
save(r8_input1, file = "data/r8_input1.rdata")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.