diff --git a/.RData b/.RData
index 271cfb4..9d292fa 100644
Binary files a/.RData and b/.RData differ
diff --git a/mg-govdoc-cr_24092572.out b/mg-govdoc-cr_24106808.out
similarity index 67%
rename from mg-govdoc-cr_24092572.out
rename to mg-govdoc-cr_24106808.out
index 80663aa..6de08da 100644
--- a/mg-govdoc-cr_24092572.out
+++ b/mg-govdoc-cr_24106808.out
@@ -1,17 +1,18 @@
 1. SSH tunnel from your workstation using the following command:
 
-   ssh -N -L 8787:n3433:51613 mjilg@klone.hyak.uw.edu
+   ssh -N -L 8787:n3449:47855 mjilg@klone.hyak.uw.edu
 
    and point your web browser to http://localhost:8787
 
 2. log in to RStudio Server using the following credentials:
 
    user: mjilg
-   password: ezvnunJrjaDZsvr0nhPR
+   password: eam/2d4iPuXQLfLdYWQl
 
 When done using RStudio Server, terminate the job by:
 
 1. Exit the RStudio Session ("power" button in the top right corner of the RStudio window)
 2. Issue the following command on the login node:
 
-      scancel -f 24092572
+      scancel -f 24106808
+slurmstepd: error: *** JOB 24106808 ON n3449 CANCELLED AT 2025-02-09T10:24:10 ***
diff --git a/quartile_splits.R b/quartile_splits.R
index f5ae1e6..4492a95 100644
--- a/quartile_splits.R
+++ b/quartile_splits.R
@@ -1,4 +1,4 @@
-contributing_count_filepath <-  "/mmfs1/gscratch/comdata/users/mjilg/govdoc-cr-data/final_data/metadata/final_0207_CONTRIBUTING_weekly_count_data.csv"
+contributing_count_filepath <-  "/mmfs1/gscratch/comdata/users/mjilg/govdoc-cr-data/final_data/metadata/CONTRIBUTING_weekly_count_data.csv"
 contributing_count_df = read.csv(contributing_count_filepath, header = TRUE) 
 
 window_num <- 5
@@ -9,7 +9,7 @@ contributing_count_df <- contributing_count_df |>
   mutate(log1p_count = log1p(commit_count))
 
 quantile(contributing_count_df$age / 365, probs = c(0.25, 0.5, 0.75))
-quantile(contributing_count_df$age_at_commit / 365, probs = c(0.25, 0.5, 0.75))
+quantile(contributing_count_df$age_at_commit , probs = c(0.25, 0.5, 0.75))
 aggregate_cccd <- contributing_count_df |>
   group_by(project_id) |>
   summarize(
@@ -21,7 +21,7 @@ quantile(aggregate_cccd$avg_weekly_commits, probs = c(0.25, 0.5, 0.75))
 quantile(aggregate_cccd$authors_before, probs = c(0.25, 0.5, 0.75))
 quantile(aggregate_cccd$authors_after, probs = c(0.25, 0.5, 0.75))
 
-readme_count_filepath <- "/mmfs1/gscratch/comdata/users/mjilg/govdoc-cr-data/final_data/metadata/final_0207_README_weekly_count_data.csv"
+readme_count_filepath <- "/mmfs1/gscratch/comdata/users/mjilg/govdoc-cr-data/final_data/metadata/README_weekly_count_data.csv"
 readme_count_df = read.csv(readme_count_filepath, header = TRUE) 
 
 window_num <- 5
@@ -32,7 +32,7 @@ readme_count_df <- readme_count_df |>
   mutate(log1p_count = log1p(commit_count))
 
 quantile(readme_count_df$age / 365, probs = c(0.25, 0.5, 0.75))
-quantile(readme_count_df$age_at_commit / 365, probs = c(0.25, 0.5, 0.75))
+quantile(readme_count_df$age_at_commit, probs = c(0.25, 0.5, 0.75))
 sd(readme_count_df$age_at_commit / 365)
 aggregate_rccd <- readme_count_df |>
   group_by(project_id) |>