Nothing
## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
collapse = F,
comment = "#>"
)
library(dplyr)
library(hablar)
## -----------------------------------------------------------------------------
x <- c(NA, 1, 2)
s(x)
## -----------------------------------------------------------------------------
x <- c(NaN, 1, Inf)
s(x)
## -----------------------------------------------------------------------------
x <- c()
s(x)
## -----------------------------------------------------------------------------
x <- c(NaN, Inf, 3, 4)
median(s(x))
## -----------------------------------------------------------------------------
x <- c(1, 2, 3, 4, 5)
sum(x)
## -----------------------------------------------------------------------------
x <- c(1, 2, 3, NA, 4)
mean(x)
## -----------------------------------------------------------------------------
x <- c(1, 2, 3, NA, 4)
mean(x, na.rm = TRUE)
## -----------------------------------------------------------------------------
x <- c(1, 2, 3, NA, 4)
mean(s(x))
## ---- echo=F------------------------------------------------------------------
df <- tibble(day = c(1, 2, 3, 1, 2, 3, 1, 2, 3),
name = c(rep("Amanda", 3), rep("David", 3), rep("Viktor", 3)),
sold_sodas = c(3, NA, 8, NA, NA, NA, 2, 1, 4)) %>%
print()
## ---- warning=FALSE-----------------------------------------------------------
df %>%
group_by(name) %>%
summarize(n_sodas_best_day = max(sold_sodas, na.rm = T))
## ---- warning=FALSE-----------------------------------------------------------
x <- c()
max(x)
## -----------------------------------------------------------------------------
df %>%
group_by(name) %>%
summarize(n_sodas_best_day = max(sold_sodas))
## -----------------------------------------------------------------------------
df %>%
group_by(name) %>%
summarize(n_sodas_best_day = max(s(sold_sodas)))
## ---- include = F-------------------------------------------------------------
df <- starwars %>%
select(name, homeworld, species, height)
## -----------------------------------------------------------------------------
df %>% head(10)
## ---- warning=FALSE-----------------------------------------------------------
df %>%
filter(!is.na(height)) %>%
group_by(homeworld) %>%
summarize(tallest_human = max(height[species == "Human"]))
## -----------------------------------------------------------------------------
df %>%
filter(!is.na(height)) %>%
group_by(homeworld) %>%
summarize(tallest_human = max(s(height[species == "Human"])))
## -----------------------------------------------------------------------------
x <- c(NaN, 1)
min(x)
## -----------------------------------------------------------------------------
x <- c(Inf, 3, 4)
mean(x)
## -----------------------------------------------------------------------------
x <- c(5, -Inf, 2)
sum(x)
## -----------------------------------------------------------------------------
x <- c(NaN, 1)
min(s(x))
## -----------------------------------------------------------------------------
x <- c(Inf, 3, 4)
mean(s(x))
## -----------------------------------------------------------------------------
x <- c(5, -Inf, 2)
sum(s(x))
## -----------------------------------------------------------------------------
x <- c(NaN, 1)
min_(x)
## -----------------------------------------------------------------------------
x <- c(Inf, 3, 4)
mean_(x)
## -----------------------------------------------------------------------------
x <- c(5, -Inf, 2)
sum_(x)
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