# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
library(data.table)
#############benchmark 26
t1 <- read.table(text=
"
source tone value
Politician For 3
Politician For 4
Politician For 1
Politician Against 4
Politician Against 2
Politician Against 10
Activist For 2
Activist For 1
Activist For 2
Activist Against 3
Activist Against 5
Activist Against 11
",header=T)
df_out = t1 %>% group_by(source, tone) %>%
summarise(avg=mean(value)) %>%
gather(type, val, -source, -tone) %>%
unite(stat, c(tone, type)) %>%
spread(stat, val)
#df_out
write.csv(df_out, "data-raw/p50_output1.csv", row.names=FALSE)
write.csv(t1, "data-raw/p50_input1.csv", row.names=FALSE)
p50_output1 <- read.csv("data-raw/p50_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p50_output1, is.factor)
int.cols <- sapply(p50_output1, is.integer)
p50_output1[, fctr.cols] <- sapply(p50_output1[, fctr.cols], as.character)
p50_output1[, int.cols] <- sapply(p50_output1[, int.cols], as.numeric)
save(p50_output1, file = "data/p50_output1.rdata")
p50_input1 <- read.csv("data-raw/p50_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p50_input1, is.factor)
int.cols <- sapply(p50_input1, is.integer)
p50_input1[, fctr.cols] <- sapply(p50_input1[, fctr.cols], as.character)
p50_input1[, int.cols] <- sapply(p50_input1[, int.cols], as.numeric)
save(p50_input1, file = "data/p50_input1.rdata")
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