Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
library(hablar)
library(dplyr)
library(knitr)
options(tibble.print_min = 4L, tibble.print_max = 4L)
## ---- echo=FALSE--------------------------------------------------------------
df <- tibble(name = c("Fredrik", "Maria", "Astrid"),
graduation_date = as.Date(c("2016-06-15",
NA,
"2014-06-15")),
age = c(21L, 16L, 23L))
df
## -----------------------------------------------------------------------------
df %>%
mutate(min_baseR = min(graduation_date),
min_hablar = min_(graduation_date))
## -----------------------------------------------------------------------------
mtcars %>%
convert(int(cyl, am),
num(disp:drat))
## -----------------------------------------------------------------------------
mtcars %>%
convert(
chr(last_col()), # Last colum to character
int(1:2), # First two columns to integer
fct(hp, wt), # hp and wt to factors
dte(vs), # vs to date (if you really want)
num(contains("car")) # car as in carb to numeric
)
## -----------------------------------------------------------------------------
# Create df with duplicates
df <- mtcars %>%
bind_rows(mtcars %>% slice(1, 5, 9))
# Return rows with duplicates in cyl and am
df %>%
find_duplicates(cyl, am)
## -----------------------------------------------------------------------------
starwars %>%
find_na(height)
## -----------------------------------------------------------------------------
starwars %>%
find_na(height) %>%
mutate(height = if_na(height, 100L))
## -----------------------------------------------------------------------------
starwars %>%
mutate(skin_color = if_else_(hair_color == "brown", NA, hair_color))
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