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@@ -999,8 +999,8 @@ process_data <- function(df, variables, filter_nf = FALSE, filter_na = FALSE, ad
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message("Replacing NA with 0.001 for Avg_Zscore_ and Z_lm_ columns for ranks")
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df <- df %>%
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mutate(
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- across(all_of(avg_zscore_cols), ~ ifelse(is.na(.), 0.001, .)),
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- across(all_of(z_lm_cols), ~ ifelse(is.na(.), 0.001, .))
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+ across(all_of(avg_zscore_cols), ~ifelse(is.na(.), 0.001, .)),
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+ across(all_of(z_lm_cols), ~ifelse(is.na(.), 0.001, .))
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)
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}
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@@ -1009,9 +1009,9 @@ process_data <- function(df, variables, filter_nf = FALSE, filter_na = FALSE, ad
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if (rank) {
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message("Calculating ranks for Avg_Zscore_ and Z_lm_ columns")
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df <- df %>%
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- mutate(across(all_of(avg_zscore_cols), rank, .names = "Rank_{.col}", na.last = "keep"))
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+ mutate(across(all_of(avg_zscore_cols), ~rank(., na.last = "keep"), .names = "Rank_{.col}"))
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df <- df %>%
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- mutate(across(all_of(z_lm_cols), rank, .names = "Rank_lm_{.col}", na.last = "keep"))
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+ mutate(across(all_of(z_lm_cols), ~rank(., na.last = "keep"), .names = "Rank_lm_{.col}"))
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}
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return(df)
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