# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 1
dat <- data.frame(
id = c(1,1,1,2,2,2),
Year = c(2007, 2008, 2009, 2007, 2008, 2009),
A = c(5, 2, 3, 7, 5, 6),
B = c(10, 0, 50, 13, 17, 17)
)
write.csv(dat, "data-raw/r4_input1.csv", row.names=FALSE)
df_out = gather(dat, Var, Val, A:B) %>%
unite(YearVar, Var, Year) %>%
spread(YearVar, Val)
write.csv(df_out, "data-raw/r4_output1.csv", row.names=FALSE)
r4_output1 <- read.csv("data-raw/r4_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r4_output1, is.factor)
int.cols <- sapply(r4_output1, is.integer)
r4_output1[, fctr.cols] <- sapply(r4_output1[, fctr.cols], as.character)
r4_output1[, int.cols] <- sapply(r4_output1[, int.cols], as.numeric)
save(r4_output1, file = "data/r4_output1.rdata")
r4_input1 <- read.csv("data-raw/r4_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r4_input1, is.factor)
int.cols <- sapply(r4_input1, is.integer)
r4_input1[, fctr.cols] <- sapply(r4_input1[, fctr.cols], as.character)
r4_input1[, int.cols] <- sapply(r4_input1[, int.cols], as.numeric)
save(r4_input1, file = "data/r4_input1.rdata")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.