From 57b46664ef85611cd37da8bef37541a75df88ef2 Mon Sep 17 00:00:00 2001
From: syounkin <syounkin@wisc.edu>
Date: Thu, 7 Nov 2024 13:40:00 -0600
Subject: [PATCH] Stopped ignoring functions.R

---
 .gitignore    |  1 +
 R/functions.R | 34 ++++++++++++++++++++++++++++++++++
 2 files changed, 35 insertions(+)
 create mode 100644 R/functions.R

diff --git a/.gitignore b/.gitignore
index 89b31d2..4838c57 100644
--- a/.gitignore
+++ b/.gitignore
@@ -15,6 +15,7 @@ data
 data-bkup/
 data-bkup
 *.R
+!R/functions.R
 *.bak
 trash/
 api_key
diff --git a/R/functions.R b/R/functions.R
new file mode 100644
index 0000000..c24604a
--- /dev/null
+++ b/R/functions.R
@@ -0,0 +1,34 @@
+getLTSForRoute <- function(i) {
+
+  # Filter the routes for the current student number
+  current_route <- routes %>% filter(student_number == i)
+
+  # Find intersecting OBJECTIDs
+  intersecting_ids <- relevant_buffer$OBJECTID[lengths(st_intersects(relevant_buffer, current_route)) > 0]
+
+  # Filter relevant segments to calculate max and average lts
+  relevant_segments <- bike_lts_buffer %>% filter(OBJECTID %in% intersecting_ids)
+
+  # find all the segments of relevant_buffer that the current route passes through
+  current_route_lts_intersection <- st_intersection(current_route, relevant_segments)
+
+  # calculate segment length in meters
+  current_route_lts_intersection$"segment_length" <- as.double(st_length(current_route_lts_intersection))
+
+  # Return the result as a list
+  result <- list(
+    student_number = i
+    , lts_max = max(current_route_lts_intersection$LTS_F)
+    , lts_average = weighted.mean(current_route_lts_intersection$LTS_F, current_route_lts_intersection$segment_length)
+    , lts_1_dist = sum(current_route_lts_intersection %>% filter(LTS_F == 1) %>% pull(LTS_F))
+    , lts_2_dist = sum(current_route_lts_intersection %>% filter(LTS_F == 2) %>% pull(LTS_F))
+    , lts_3_dist = sum(current_route_lts_intersection %>% filter(LTS_F == 3) %>% pull(LTS_F))
+    , lts_4_dist = sum(current_route_lts_intersection %>% filter(LTS_F == 4) %>% pull(LTS_F))
+    , route = as.data.frame(current_route_lts_intersection)
+  )
+
+  # Message for progress
+  message(paste0("done - ", i))
+
+  return(result)
+}