Description Usage Arguments Details See Also Examples
replace symbols or other character flags
1 | replace_values(x, flag_df, nonflag = NULL, as_numeric = TRUE)
|
x |
vector to replace |
flag_df |
dataframe with first column being the flag and second the replacement value |
nonflag |
what to do with non-flagged elements |
as_numeric |
whether to return column as numeric |
because of R's coercion rules being somewhat unpredictable regarding character vs factor the behavior of replace_values is to always treat as character data, even if passed in as a factor
unique_non_numerics
: to identify which non-numeric values must
be replaced before column can be safely coerced to a numeric
1 2 3 4 5 6 7 8 9 10 11 | df <- data.frame(ID = 1, DV = c(1, "BQL", ".", 5))
rflags <- data.frame(flag = c("BQL", "."), replacement = -99)
df$DVR <- replace_values(df$DV, rflags)
library(dplyr)
df <- df %>% mutate(DVR2 = replace_values(DV, rflags))
# powerful with unique_non_numerics
df <- df %>% mutate(DVR3 = replace_values(DV,
data.frame(values = unique_non_numerics(DV),
replacement = NA)))
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