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Fix: only call replace_na(., 0) on numeric columns #195

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merged 1 commit into from
Nov 20, 2021
Merged

Fix: only call replace_na(., 0) on numeric columns #195

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2 changes: 1 addition & 1 deletion R/workpatterns_area.R
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Original file line number Diff line number Diff line change
Expand Up @@ -158,7 +158,7 @@ workpatterns_area <- function(data,
ptn_data_norm <-
ptn_data_norm %>%
select(PersonId, group, all_of(input_var)) %>%
mutate_all(~tidyr::replace_na(., 0)) # Replace NAs with 0s
mutate(across(where(is.numeric), ~tidyr::replace_na(., 0))) # Replace NAs with 0s

# Percentage vs Absolutes
if(values == "percent"){
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2 changes: 1 addition & 1 deletion R/workpatterns_classify_pav.R
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Expand Up @@ -104,7 +104,7 @@ workpatterns_classify_pav <- function(data,
mutate_at(vars(all_of(input_var)), ~./Signals_Total) %>%
#filter(Signals_Total > 0) %>%
select(all_of(input_var)) %>%
mutate_all(~tidyr::replace_na(., 0)) # Replace NAs with 0s
mutate(across(where(is.numeric), ~tidyr::replace_na(., 0))) # Replace NAs with 0s


## Normalised pattern data
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2 changes: 1 addition & 1 deletion R/workpatterns_hclust.R
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Expand Up @@ -131,7 +131,7 @@ workpatterns_hclust <- function(data,
mutate_at(vars(input_var), ~./Signals_Total) %>%
filter(Signals_Total > 0) %>%
select(PersonId, all_of(input_var)) %>%
mutate_all(~tidyr::replace_na(., 0)) # Replace NAs with 0s
mutate(across(where(is.numeric), ~tidyr::replace_na(., 0))) # Replace NAs with 0s

## Distance matrix
dist_m <-
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