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@ -44,11 +44,12 @@ is_new_episode(df$date, episode_days = 60) # TRUE/FALSE
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df[which(get_episode(df$date, 60) == 3), ]
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# the functions also work for less than a day, e.g. to include one per hour:
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get_episode(c(
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Sys.time(),
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Sys.time() + 60 * 60
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),
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episode_days = 1 / 24
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get_episode(
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c(
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Sys.time(),
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Sys.time() + 60 * 60
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),
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episode_days = 1 / 24
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)
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\donttest{
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@ -85,7 +86,6 @@ if (require("dplyr")) {
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)
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}
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if (require("dplyr")) {
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# grouping on patients and microorganisms leads to the same
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# results as first_isolate() when using 'episode-based':
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x <- df \%>\%
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@ -102,7 +102,6 @@ if (require("dplyr")) {
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identical(x, y)
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}
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if (require("dplyr")) {
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# but is_new_episode() has a lot more flexibility than first_isolate(),
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# since you can now group on anything that seems relevant:
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df \%>\%
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