# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
library(data.table)
#############benchmark 84
set.seed(14592)
dat <- read.table(text=
" a b d
1 1 0
1 1 200
1 1 300
1 1 0
1 1 600
1 2 0
1 2 100
1 2 200
1 3 0",header=T)
write.csv(dat, "data-raw/p84_input1.csv", row.names=FALSE)
df_out = dat %>% filter(d != 0) %>% group_by(a, b) %>% summarise(mean_d = mean(d))
write.csv(df_out, "data-raw/p84_output1.csv", row.names=FALSE)
p84_output1 <- read.csv("data-raw/p84_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p84_output1, is.factor)
int.cols <- sapply(p84_output1, is.integer)
p84_output1[, fctr.cols] <- sapply(p84_output1[, fctr.cols], as.character)
p84_output1[, int.cols] <- sapply(p84_output1[, int.cols], as.numeric)
save(p84_output1, file = "data/p84_output1.rdata")
p84_input1 <- read.csv("data-raw/p84_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p84_input1, is.factor)
int.cols <- sapply(p84_input1, is.integer)
p84_input1[, fctr.cols] <- sapply(p84_input1[, fctr.cols], as.character)
p84_input1[, int.cols] <- sapply(p84_input1[, int.cols], as.numeric)
save(p84_input1, file = "data/p84_input1.rdata")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.