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linear_regression.R
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linear_regression.R
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data <- read.csv(file = "data/edit_counts_total.csv", header = TRUE, row.names = 1)
label_wmc <- read.csv(
file = "data/wmc_memberships.csv",
header = TRUE,
row.names = 1,
stringsAsFactors=FALSE,
colClasses = c("character", "logical")
)
label_zh_hans <- read.csv(
file = "data/simplified_chinese_users.csv",
header = TRUE,
row.names = 1,
stringsAsFactors=FALSE,
colClasses = c("character", "logical")
)
sample <- cbind(data$X2017, label_wmc, label_zh_hans)
colnames(sample) <- c("Total", "Membership", "zh_hans")
model <- lm(Total ~ Membership, data = sample)
summary(model)
model <- lm(Total ~ zh_hans, data = sample)
summary(model)
model <- lm(Total ~ Membership + zh_hans, data = sample)
summary(model)
data <- read.csv(file = "data/edit_counts_main.csv", header = TRUE, row.names = 1)
sample <- cbind(data$X2017, label_wmc, label_zh_hans)
colnames(sample) <- c("Main", "Membership", "zh_hans")
model <- lm(Main ~ Membership, data = sample)
summary(model)
model <- lm(Main ~ zh_hans, data = sample)
summary(model)
model <- lm(Main ~ Membership + zh_hans, data = sample)
summary(model)
data <- read.csv(file = "data/edit_counts_wikipedia.csv", header = TRUE, row.names = 1)
sample <- cbind(data$X2017, label_wmc, label_zh_hans)
colnames(sample) <- c("Wikipedia", "Membership", "zh_hans")
model <- lm(Wikipedia ~ Membership, data = sample)
summary(model)
model <- lm(Wikipedia ~ zh_hans, data = sample)
summary(model)
model <- lm(Wikipedia ~ Membership + zh_hans, data = sample)
summary(model)