Plot exposures and outcomes per person
plotPerPersonData( sccsData, outcomeId = NULL, exposureId = NULL, naivePeriod = 0, firstOutcomeOnly = FALSE, minAge = NULL, maxAge = NULL, fileName = NULL )
sccsData | An object of type |
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outcomeId | The outcome to create the era data for. If not specified it is assumed to be the one outcome for which the data was loaded from the database. |
exposureId | The exposure to create the era data for. If not specified it is assumed to be the one exposure for which the data was loaded from the database. |
naivePeriod | The number of days at the start of a patient's observation period that should not be included in the risk calculations. Note that the naive period can be used to determine current covariate status right after the naive period, and whether an outcome is the first one. |
firstOutcomeOnly | Whether only the first occurrence of an outcome should be considered. |
minAge | Minimum age at which patient time will be included in the analysis. Note that information prior to the min age is still used to determine exposure status after the minimum age (e.g. when a prescription was started just prior to reaching the minimum age). Also, outcomes occurring before the minimum age is reached will be considered as prior outcomes when using first outcomes only. Age should be specified in years, but non-integer values are allowed. If not specified, no age restriction will be applied. |
maxAge | Maximum age at which patient time will be included in the analysis. Age should be specified in years, but non-integer values are allowed. If not specified, no age restriction will be applied. |
fileName | Name of the file where the plot should be saved, for example 'plot.png'. See the
function |
A Ggplot object. Use the ggsave function to save to file.
This plot shows the observation time (black), exposures (red), and outcomes (yellow) per person.
If parameters such as naivePeriod, minAge, and maxAge are provided, these will first be applied to curtail the observation period prior to plotting. Similarly, firstOutcomeOnly can be provided so subjects where the first outcome falls before the true observation start are removed before plotting.