[https://media.ed.ac.uk/media/HealthyR+demoA+Reproducible+examples+%28reprex%29/1_zo8af9bg]
Day 02 of HealthyR demo
penguins1 <- penguins %>%
na.omit()
penguins1 %>%
mutate(species = fct_relevel(species, "Adelie", "Gentoo")) %>%
ggplot(aes(x=species)) +
labs(title = "Penguins - Pingüinos",
subtitle = "Data A.Palmer, in Antarctica - Datos A.Palmer, en la Antártida",
x = "Species - Especies",
y ="Number -Numero",
)+
geom_bar()+
theme_minimal()
penguins1 %>%
mutate(species = fct_relevel(species, "Adelie", "Gentoo")) %>%
ggplot(aes(x=species, y=flipper_length_mm)) +
labs(title = "Flipper_Length - Longitud_Aleta",
subtitle = "Data A.Palmer, in Antarctica - Datos A.Palmer,
en la Antártida",
x = "Species - Especies",
y ="Length(mm) -Longitud(mm",
)+
geom_jitter() +
theme_minimal()+
geom_boxplot(outlier.color="black")
penguins1 %>%
group_by(species) %>%
summarise(flipper_mean = mean(flipper_length_mm))
## # A tibble: 3 × 2
## species flipper_mean
## <fct> <dbl>
## 1 Adelie 190.
## 2 Chinstrap 196.
## 3 Gentoo 217.
library(tidyverse)
example_data = tibble(species = c("a", "b", "c", "a", "b", "c"),
flipper = c(1:5, NA))
example_data %>%
group_by(species) %>%
summarise(flipper_mean = mean(flipper))
## # A tibble: 3 × 2
## species flipper_mean
## <chr> <dbl>
## 1 a 2.5
## 2 b 3.5
## 3 c NA