Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE, collapse = TRUE,
fig.width = 6, fig.height = 5,
message = FALSE, warning = FALSE)
## ----message = FALSE----------------------------------------------------------
library('dformula')
## ----message = FALSE, eval=FALSE----------------------------------------------
# remotes::install_github('serafinialessio/dformula')
## -----------------------------------------------------------------------------
data("population_data")
pop_data <- population_data
## -----------------------------------------------------------------------------
str(pop_data)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data, formula = ~ I(Population / Area))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data, formula = ~ I(Population / Area), as = "pop_density")
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data, formula = ~ I(Population / Area) + I(log(Area)))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data, formula = ~ I(Population / Area) + I(log(Area)),
as = c("pop_density", "log_area"))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data, formula = Population + Area ~ log())
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data, formula = Population + Area ~ log(),
as = c("log_pop", "log_area"))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data,
formula = ~ I(1:nrow(new_pop)),
position = "left", as = "id")
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data, formula = ~ C("2020"), position = "left")
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data,
formula = ~ I(1:nrow(new_pop)) + C("2020"),
position = "left", as = c("ids", "year"))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data, formula = ~ I(Population > 100000000))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data,
formula = ~ I(Population > 100000000) + I(Area > 8000000))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data,
formula = ~ I(Population > 100000000 & Area > 8000000))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- add(from = pop_data,
formula = ~ I(Population > 100000000),
logic_convert = FALSE, as = "most_populated")
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- transform(from = pop_data,
formula = Population ~ I(Population/10000))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- transform(from = pop_data,
formula = Population ~ I(log(Population)),
as = "log_pop")
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- transform(from = pop_data,
formula = Population + Area~ I(log()))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- transform(from = pop_data,
formula = Population + Area ~ I(Population > 100000000) + I(log(Area)))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- rename(from = pop_data, formula = Population ~ pop )
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- rename(from = pop_data, formula = Population + Area ~ pop + area)
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- select(from = pop_data,
formula = . ~ I(Population > 100000000))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- select(from = pop_data,
formula = Country ~ I(Population > 100000000))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- select(from = pop_data,
formula = . ~ I(Population > 100000000 & Area > 8000000))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- select(from = pop_data,
formula = ~ I(Population > 100000000 | Area > 8000000))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- select(from = pop_data,
formula = Country ~ I(Population > 100000000 | Area > 8000000))
head(new_pop)
## -----------------------------------------------------------------------------
new_pop <- remove(from = pop_data,
formula = Area ~ I(Population > 100000000))
head(new_pop)
## -----------------------------------------------------------------------------
data("airquality")
dt <- airquality
dt_new <- remove(from = dt,formula = .~., na.remove = TRUE)
head(dt_new)
## -----------------------------------------------------------------------------
dt_new <- select(from = dt,formula = ~ I(Temp > 50), na.return = TRUE)
head(dt_new)
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