Plot State Frequencies as a Mosaic Between Two Groups

Plot State Frequencies as a Mosaic Between Two Groups

Usage

# S3 method for class 'tna_data'
plot_mosaic(x, group, label = "Group", digits = 1, ...)

Arguments

x

A tna_data object.

group

A character string giving the column name of the (meta) data to contrast the frequencies with or a vector of group indicators with the the same length as the number of rows in the sequence data.

label

An optional character string that specifies a label for the grouping variable when group is not a column name of the data.

digits

An integer that determines the number of digits to use for the chi-square test statistic and the p-value in the plot.

...

Ignored.

Value

A ggplot object.

See also

Basic functions build_model(), hist.group_tna(), hist.tna(), plot.group_tna(), plot.tna(), plot_mosaic(), plot_mosaic.group_tna(), prepare_data(), print.group_tna(), print.summary.group_tna(), print.summary.tna(), print.tna(), print.tna_data(), summary.group_tna(), summary.tna(), tna-package

Examples

d <- data.frame(
  time = rep(1:5, rep = 4),
  group = rep(1:4, each = 5),
  event = sample(LETTERS[1:3], 20, replace = TRUE)
)
sequence_data <- prepare_data(
  d,
  time = "time",
  actor = "group",
  action = "event"
)
#> 
#> Initializing session computation...
#> 
#> Input data dimensions: 20 rows, 3 columns
#> 
#> Parsing time values...
#> 
#> First few time values: 1, 2, and 3
#> 
#> Detected <numeric> time values - treating as Unix timestamp.
#> 
#> Starting time parsing process...
#> 
#> Number of values to parse: 20
#> 
#> Sample values: 1, 2, and 3
#> 
#> Sample of parsed times: 1970-01-01 00:00:01, 1970-01-01 00:00:02, and
#> 1970-01-01 00:00:03
#> 
#> Creating sessions based on time threshold...
#> 
#> Time threshold for new session: 900 seconds
#> 
#> Creating wide format view of sessions...
#> 
#> Session Analysis Summary
#> 
#> ------------------------
#> 
#> Total number of sessions: 4
#> 
#> Number of unique users: 4
#> 
#> Total number of actions: 20
#> 
#> Maximum sequence length: 5 actions
#> 
#> Time range: 1970-01-01 00:00:01 to 1970-01-01 00:00:05
#> 
#> Sessions per user:
#> # A tibble: 4 × 2
#>   group n_sessions
#>   <int>      <int>
#> 1     1          1
#> 2     2          1
#> 3     3          1
#> 4     4          1
#> 
#> Top 5 longest sessions:
#> # A tibble: 4 × 2
#>   .session_id n_actions
#>   <chr>           <int>
#> 1 1 session1          5
#> 2 2 session1          5
#> 3 3 session1          5
#> 4 4 session1          5
plot_mosaic(sequence_data, group = "group")