52 lines
1.8 KiB
R
52 lines
1.8 KiB
R
library(tidyverse)
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count_data_fp <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/event_0215_core_weekly_commit_count_data.csv"
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input_df <- read.csv(count_data_fp, header = TRUE)
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library(rdd)
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var(input_df$commit_count) # 1253.343
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mean(input_df$commit_count) # 44.92381
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median(input_df$commit_count) # 39.5
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get_optimal_bandwidth <- function(df){
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bw <- tryCatch({
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IKbandwidth(df$relative_week, df$commit_count, cutpoint = 0, verbose = FALSE, kernel = "triangular")
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}, error = function(e) {
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NA
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})
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}
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optimal_bandwidth <- get_optimal_bandwidth(input_df)
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window_num <- 13
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input_df <- input_df |>
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filter(relative_week >= (- window_num) & relative_week <= (window_num)) |>
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mutate(other_commit_count = commit_count - bot_commit_count - mediawiki_dev_commit_count - wikia_commit_count - wikimedia_commit_count - jenkins_commit_count)
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library(MASS)
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simple_model <- glm.nb(commit_count~before_after*relative_week, data=input_df)
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summary(simple_model)
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library(lme4)
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library(dplyr)
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#get into mlm format
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long_df <- input_df |>
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pivot_longer(cols = c(other_commit_count, wikimedia_commit_count, jenkins_commit_count, wikia_commit_count, mediawiki_dev_commit_count),
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names_to = "commit_type",
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values_to = "lengthened_commit_count")
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long_df <- long_df |>
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mutate(commit_share = lengthened_commit_count / (commit_count - bot_commit_count)) |>
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mutate(log_commits = log1p(lengthened_commit_count))
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mlm <- glmer.nb(lengthened_commit_count ~ before_after*relative_week + (before_after*relative_week|commit_type),
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control=glmerControl(optimizer="bobyqa",
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optCtrl=list(maxfun=2e5)), nAGQ=0,
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data=long_df)
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summary(mlm)
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ranefs <- ranef(mlm)
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print(ranefs)
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saveRDS(mlm, "021525_core-ve_event_mlm.rda")
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