`r lifecycle::badge("deprecated")`
Usage
plotCohortIntersect(
data,
xAxis = "estimate_value",
yAxis = "variable_name",
plotStyle = "barplot",
facetVarX = "variable_name",
facetVarY = c("group_level", "strata_level"),
colorVars = "variable_level",
vertical_x = TRUE
)Arguments
- data
output of summariseCohortIntersect
- xAxis
what to plot on x axis, default as variable_name column. Has to be a column in data.
- yAxis
what to plot on y axis, default as estimate_value column. Has to be a column in data. One of the xAxis or yAxis has to be estimate_value.
- plotStyle
Now allows boxplot or barplot only.
- facetVarX
column in data to facet by on horizontal axis
- facetVarY
column in data to facet by on vertical axis
- colorVars
column in data to color by.
- vertical_x
whether to display x axis string vertically.
Examples
# \donttest{
library(PatientProfiles)
cdm <- mockPatientProfiles()
results <- summariseCohortIntersect(
cohort = cdm$cohort1,
cohortIntersect = list(
"Medications in the prior year" = list(
targetCohortTable = "cohort2", value = "flag", window = c(-365, -1)
)
)
)
#> Warning: `summariseCohortIntersect()` was deprecated in PatientProfiles 0.8.0.
#> ℹ Please use `CohortCharacteristics::summariseCohortIntersect()` instead.
#> ℹ adding cohort intersect columns for table: cohort2
#> ℹ summarising data
#> ℹ The following estimates will be computed:
#> • flag_variable_00021_variable_00020: count, percentage
#> • flag_variable_00022_variable_00020: count, percentage
#> → Start summary of data, at 2024-05-11 12:03:44.166322
#> ✔ Summary finished, at 2024-05-11 12:03:44.6309
#> ✔ summariseCharacteristics finished!
graph <- plotCohortIntersect(results)
CDMConnector::cdmDisconnect(cdm = cdm)
# }