2021-09-27
Continuous Glucose Monitoring Package for R
Process raw CGM data from Freestyle Libreview, Levels, Nutrisense and others.
Download a CSV file from Libreview.com
library(tidyverse)
library(lubridate)
library(cgmr)
cgm_sample <- glucose_df_from_libreview_csv(system.file("extdata", package = "cgmr", "Firstname1Lastname1_glucose.csv"))
glucose_records <- cgm_sample
notes_records <- notes_df_from_glucose_table(glucose_records)
head(glucose_records)## # A tibble: 6 × 7
## time scan hist strip value food user_id
## <dttm> <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
## 1 2021-05-30 16:59:00 NA 69 NA 69 <NA> 1234
## 2 2021-05-30 17:14:00 NA 66 NA 66 <NA> 1234
## 3 2021-05-30 17:30:00 NA 62 NA 62 <NA> 1234
## 4 2021-05-30 17:45:00 NA 60 NA 60 <NA> 1234
## 5 2021-05-30 18:00:00 NA 62 NA 62 <NA> 1234
## 6 2021-05-30 18:15:00 NA 64 NA 64 <NA> 1234
head(notes_records)## # A tibble: 3 × 6
## Start End Activity Comment Z user_id
## <dttm> <dttm> <fct> <chr> <dbl> <dbl>
## 1 2021-07-07 12:45:00 NA Food zoodles ground beef cupcake NA 1234
## 2 2021-07-07 18:50:00 NA Food pork belly cauliflower NA 1234
## 3 2021-07-07 19:30:00 NA Food keto bar NA 1234
The most important function, food_times_df_fast() looks through all
glucose and notes records to return a dataframe of times during a time
interval after eating a specific food, in this case “Keto Bar”, which
the CGM wearer entered in the Notes field of the app.
ft <- food_times_df_fast(glucose_records, notes_records, foodname = "keto bar")
ft## # A tibble: 8 × 8
## t value username date_ch timestamp meal foodname user_id
## <dbl> <dbl> <chr> <chr> <dttm> <chr> <chr> <fct>
## 1 0 97 1234 7/7 2021-07-07 19:30:00 1234-7/7-ke… keto bar 1234
## 2 15 83 1234 7/7 2021-07-07 19:30:00 1234-7/7-ke… keto bar 1234
## 3 30 71 1234 7/7 2021-07-07 19:30:00 1234-7/7-ke… keto bar 1234
## 4 45 72 1234 7/7 2021-07-07 19:30:00 1234-7/7-ke… keto bar 1234
## 5 62 86 1234 7/7 2021-07-07 19:30:00 1234-7/7-ke… keto bar 1234
## 6 77 88 1234 7/7 2021-07-07 19:30:00 1234-7/7-ke… keto bar 1234
## 7 92 86 1234 7/7 2021-07-07 19:30:00 1234-7/7-ke… keto bar 1234
## 8 107 81 1234 7/7 2021-07-07 19:30:00 1234-7/7-ke… keto bar 1234
And of course you can easily plot the results
ft %>% ggplot(aes(x=t, y = value, color = meal)) + geom_line()
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent