Description Usage Arguments Value Examples
View source: R/heatmap_wday_hourofday.R
Takes any timestamp column in the data and aggregates by weekday and hour of the day. The generated plot then shows for each combination the frequency. Please note, that one and only one of the three data arguments (df, csv, svc) must be specified.
1 | heatmap_wday_hourofday(df = NULL, csv = NULL, svc = FALSE, date_col)
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df |
Data frame containing the ODK data that is to be used. Optional, defaults to NULL. |
csv |
Character that specifies the path to the csv file that is to be read. Optional, defaults to NULL. |
svc |
Logical that indicates whether the data shall be parsed using ruODK's |
date_col |
String that specifies the date or time stamp column in the data which is to be examined. |
Plotly html-widget
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ## Not run:
# 1. with SVC
# ruODK needs to be set up for this function to work
repvisforODK::setup_ruODK(svc = 'example/svc.svc', un = 'exampleusername', pw = 'examplepassword', tz = 'Europe/Berlin', verbose = TRUE)
heatmap_calendar(svc = TRUE, date_col = 'start')
# 2. with data frame
heatmap_calendar(df = df_odk_data, date_col = 'start')
# 3. with csv
heatmap_calendar(csv = 'example/file/odk_data.csv', date_col = 'start')
## End(Not run)
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