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docs: spell out wpa
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@ -26,8 +26,8 @@
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#' function.
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#'
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#' @param data Person Query as a dataframe including date column named `Date`.
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#' This function assumes the data format is MM/DD/YYYY as is standard in a WpA
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#' query output.
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#' This function assumes the data format is MM/DD/YYYY as is standard in a
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#' Workplace Analytics query output.
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#' @param before_start Start date of 'before' time period in MM/DD/YYYY format
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#' as character type. Before time period is the period before the intervention
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#' (e.g. training program, re-org, shift to remote work) occurs and bounded by
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@ -82,7 +82,7 @@ period_change <-
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daterange_2_start <- as.Date(after_start)
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daterange_2_end <- as.Date(after_end)
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# Fix dates format for WpA Queries
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# Fix dates format for Workplace Analytics Queries
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WpA_dataset <- data %>% mutate(Date = as.Date(Date, "%m/%d/%Y"))
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@ -17,8 +17,8 @@ create_ITSA(
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}
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\arguments{
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\item{data}{Person Query as a dataframe including date column named \code{Date}.
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This function assumes the data format is MM/DD/YYYY as is standard in a WpA
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query output.}
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This function assumes the data format is MM/DD/YYYY as is standard in a
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Workplace Analytics query output.}
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\item{before_start}{Start date of 'before' time period in MM/DD/YYYY format
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as character type. Before time period is the period before the intervention
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