Count number of questions/topics posted on en-net
count_topics_theme(topics = get_themes_topics(), .sort = TRUE)
count_topics_theme_time(
topics = get_themes_topics(),
by_time = c("day", "week", "month", "year"),
.sort = TRUE
)A tibble of topics by theme, by author, and by posting date
from en-net forum produced through a call to get_themes_topics()
Logical. Should output be sorted by count frequencies? Default is TRUE
Should topics be counted by day, by week, by month or by year? Default is to count by day.
A tibble of topic counts by specified grouping
## Get counts of topics by theme
count_topics_theme(topics = ennet_topics)
#> # A tibble: 16 × 2
#> Theme n
#> <chr> <int>
#> 1 Announcements & Nutritionists needed 1342
#> 2 Assessment and Surveillance 570
#> 3 Management of wasting/acute malnutrition 566
#> 4 Infant and young child feeding interventions 238
#> 5 Upcoming trainings 103
#> 6 COVID-19 and nutrition programming 88
#> 7 Other thematic area 57
#> 8 Micronutrients 56
#> 9 Scaling Up Nutrition (SUN) 56
#> 10 Cross-cutting issues 48
#> 11 Management of small and nutritionally at risk infants under six months… 43
#> 12 Food assistance 33
#> 13 Adolescent nutrition 30
#> 14 Prevention and management of stunting 21
#> 15 Partnerships for research 19
#> 16 Simplified Approaches for the Management of Acute Malnutrition 18
## Get counts of topics by theme and by time
count_topics_theme_time(topics = ennet_topics)
#> # A tibble: 2,683 × 3
#> Theme day n
#> <chr> <date> <int>
#> 1 Announcements & Nutritionists needed 2015-06-02 12
#> 2 Announcements & Nutritionists needed 2019-05-13 11
#> 3 Announcements & Nutritionists needed 2015-08-13 7
#> 4 Announcements & Nutritionists needed 2015-05-07 6
#> 5 Scaling Up Nutrition (SUN) 2016-11-11 6
#> 6 Announcements & Nutritionists needed 2013-10-21 5
#> 7 Announcements & Nutritionists needed 2014-09-11 5
#> 8 Announcements & Nutritionists needed 2015-08-11 5
#> 9 Announcements & Nutritionists needed 2015-09-02 5
#> 10 Announcements & Nutritionists needed 2016-03-11 5
#> # … with 2,673 more rows