Bài THực Hành Tuần 2
data("iris")
lnqt <- iris
str(lnqt)
## 'data.frame': 150 obs. of 5 variables:
## $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
## $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
## $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
## $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
## $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
names(lnqt) <- c('SL','SW','PL','PW','S')
notsetosa <- iris[!iris$Species == 'setosa',"Sepal.Length" > 5]
summary(iris$Sepal.Length)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.300 5.100 5.800 5.843 6.400 7.900
iris$lcoded <- cut(iris$Sepal.Length, breaks = c(4.3,4.8,7.2,7.9),labels = c('ngắn','vừa','dài'))
table(iris$lcoded)
##
## ngắn vừa dài
## 15 126 8
mean(iris$Sepal.Length)
## [1] 5.843333
var(iris$Sepal.Length)
## [1] 0.6856935
sd(iris$Sepal.Length)
## [1] 0.8280661
sum(iris$Sepal.Length)
## [1] 876.5
quantile(iris$Sepal.Length, .3)
## 30%
## 5.27
aggregate(iris$Sepal.Length,list(iris$Species), FUN = 'summary')
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu. x.Max.
## 1 setosa 4.300 4.800 5.000 5.006 5.200 5.800
## 2 versicolor 4.900 5.600 5.900 5.936 6.300 7.000
## 3 virginica 4.900 6.225 6.500 6.588 6.900 7.900
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.2 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
iris %>% group_by(Species)
## # A tibble: 150 × 6
## # Groups: Species [3]
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species lcoded
## <dbl> <dbl> <dbl> <dbl> <fct> <fct>
## 1 5.1 3.5 1.4 0.2 setosa vừa
## 2 4.9 3 1.4 0.2 setosa vừa
## 3 4.7 3.2 1.3 0.2 setosa ngắn
## 4 4.6 3.1 1.5 0.2 setosa ngắn
## 5 5 3.6 1.4 0.2 setosa vừa
## 6 5.4 3.9 1.7 0.4 setosa vừa
## 7 4.6 3.4 1.4 0.3 setosa ngắn
## 8 5 3.4 1.5 0.2 setosa vừa
## 9 4.4 2.9 1.4 0.2 setosa ngắn
## 10 4.9 3.1 1.5 0.1 setosa vừa
## # ℹ 140 more rows