Description Usage Arguments Value Examples
Convert month and weekday and weekday types to factor with correctly ordered
levels. Note that the 'forcats' package imported by the 'tidyverse' package,
has an as_factor
function that can compete with numform's version.
If in doubt, prefix with numform::as_factor
.
1 |
x |
A vector of weekdays or months. |
shift |
Shift the levels to the right or left. Useful for setting the week beginning to something besides Sunday. Use -1 to set to Monday instead. |
... |
ignored. |
Returns a factor vector with levels set.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | dat <- structure(list(month1 = c("Jan", "Nov", "Mar", "Jul", "Aug",
"Jan", "Aug", "May", "Dec", "Apr"), month2 = c("March", "May",
"March", "July", "May", "October", "March", "November", "April",
"January"), weekday1 = c("Th", "F", "M", "Su", "Th", "Su", "M",
"Th", "W", "T"), weekday2 = c("We", "Th", "Fr", "Sa", "We", "Su",
"Tu", "Su", "Su", "Th"), weekday3 = c("Sat", "Wed", "Mon", "Wed",
"Wed", "Wed", "Wed", "Sun", "Fri", "Thu"), weekday4 = c("Sunday",
"Sunday", "Thursday", "Saturday", "Monday", "Wednesday", "Friday",
"Thursday", "Sunday", "Saturday")), .Names = c("month1", "month2",
"weekday1", "weekday2", "weekday3", "weekday4"))
## Note that the 'forcats' package imported by the 'tidyverse' package, has an
## `as_factor` function that can compete with numform's version. If in doubt
## prefix with `numform::as_factor`
as_factor(dat$month1)
as_factor(dat$month2)
as_factor(dat$weekday1)
as_factor(dat$weekday2)
as_factor(dat$weekday3)
as_factor(dat$weekday4)
## shift levels
as_factor(dat$weekday4, -1)
as_factor(dat$weekday4, -2)
as_factor(dat$weekday4, 1)
as_factor(dat$weekday4, 2)
## Not run:
library(tidyverse)
data_frame(
revenue = rnorm(10000, 500000, 50000),
date = sample(seq(as.Date('1999/01/01'), as.Date('2000/01/01'), by="day"), 10000, TRUE),
site = sample(paste("Site", 1:5), 10000, TRUE)
) %>%
mutate(
dollar = f_comma(f_dollar(revenue, digits = -3)),
thous = f_thous(revenue),
thous_dollars = f_thous(revenue, prefix = '$'),
abb_month = f_month(date),
abb_week = numform::as_factor(f_weekday(date, distinct = TRUE))
) %T>%
print() %>%
ggplot(aes(abb_week, revenue)) +
geom_jitter(width = .2, height = 0, alpha = .2) +
scale_y_continuous(label = ff_thous(prefix = '$'))+
facet_wrap(~site) +
theme_bw()
## End(Not run)
|
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