Home » Descriptive statistic

Descriptive statistic

 

#loading data

data(iris)

head(iris)
##   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1          5.1         3.5          1.4         0.2  setosa
## 2          4.9         3.0          1.4         0.2  setosa
## 3          4.7         3.2          1.3         0.2  setosa
## 4          4.6         3.1          1.5         0.2  setosa
## 5          5.0         3.6          1.4         0.2  setosa
## 6          5.4         3.9          1.7         0.4  setosa
colnames(iris)
## [1] "Sepal.Length" "Sepal.Width"  "Petal.Length" "Petal.Width" 
## [5] "Species"
mean(iris[,1])
## [1] 5.843
Sepal.LengthMean <- mean(iris$Sepal.Length)
Sepal.WidthMean <- mean(iris$Sepal.Width)
Petal.LengthMean <- mean(iris$Petal.Length)
Petal.WidthMean <- mean(iris$Petal.Width)

Sepal.LengthSD <- sd(iris$Sepal.Length)
Sepal.WidthSD <- sd(iris$Sepal.Width)
Petal.LengthSD <- sd(iris$Petal.Length)
Petal.WidthSD <- sd(iris$Petal.Width)

mean(iris[,2])
## [1] 3.057
mean(iris$Sepal.Width)
## [1] 3.057
mean(iris[,3])
## [1] 3.758
mean(iris$Petal.Length)
## [1] 3.758
mean(iris[,4])
## [1] 1.199
mean(iris$Petal.Width)
## [1] 1.199
median(iris[,1])
## [1] 5.8
median(iris$Sepal.Length)
## [1] 5.8
median(iris[,2])
## [1] 3
median(iris$Sepal.Width)
## [1] 3
median(iris[,3])
## [1] 4.35
median(iris$Petal.Length)
## [1] 4.35
median(iris[,4])
## [1] 1.3
median(iris$Petal.Width)
## [1] 1.3
mean(iris[,3], trim=0.1)
## [1] 3.76
mean(iris$Petal.Length, trim = 0.1)
## [1] 3.76
sd(iris[,1])
## [1] 0.8281
sd(iris[,2])
## [1] 0.4359
sd(iris[,3])
## [1] 1.765
sd(iris[,4])
## [1] 0.7622
sd(iris$Sepal.Length)
## [1] 0.8281
colnames(iris)
## [1] "Sepal.Length" "Sepal.Width"  "Petal.Length" "Petal.Width" 
## [5] "Species"
#variacao com base na mediana
mad(iris[,1])
## [1] 1.038
mad(iris[,2])
## [1] 0.4448
mad(iris[,3])
## [1] 1.853
mad(iris[,4])
## [1] 1.038
table(iris$Species)
## 
##     setosa versicolor  virginica 
##         50         50         50
setosa <- iris[,5] == "setosa"
versicolor <- iris[,5] == "versicolor"
virginica <- iris[,5] == "virginica"

irisSetosa <- iris[setosa,]
irisVersicolor <- iris[versicolor,]
irisVirginica <- iris[virginica,]
head(irisSetosa)
##   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1          5.1         3.5          1.4         0.2  setosa
## 2          4.9         3.0          1.4         0.2  setosa
## 3          4.7         3.2          1.3         0.2  setosa
## 4          4.6         3.1          1.5         0.2  setosa
## 5          5.0         3.6          1.4         0.2  setosa
## 6          5.4         3.9          1.7         0.4  setosa
head(irisVersicolor)
##    Sepal.Length Sepal.Width Petal.Length Petal.Width    Species
## 51          7.0         3.2          4.7         1.4 versicolor
## 52          6.4         3.2          4.5         1.5 versicolor
## 53          6.9         3.1          4.9         1.5 versicolor
## 54          5.5         2.3          4.0         1.3 versicolor
## 55          6.5         2.8          4.6         1.5 versicolor
## 56          5.7         2.8          4.5         1.3 versicolor
head(irisVirginica)
##     Sepal.Length Sepal.Width Petal.Length Petal.Width   Species
## 101          6.3         3.3          6.0         2.5 virginica
## 102          5.8         2.7          5.1         1.9 virginica
## 103          7.1         3.0          5.9         2.1 virginica
## 104          6.3         2.9          5.6         1.8 virginica
## 105          6.5         3.0          5.8         2.2 virginica
## 106          7.6         3.0          6.6         2.1 virginica
mean(iris[,1])
## [1] 5.843
median(iris[,1])
## [1] 5.8
mean(irisSetosa[,1])
## [1] 5.006
median(irisSetosa[,1])
## [1] 5
sd(iris[,1])
## [1] 0.8281
mad(iris[,1])
## [1] 1.038
sd(irisSetosa[,1])
## [1] 0.3525
mad(irisSetosa[,1])
## [1] 0.2965
mean(irisSetosa[,1])
## [1] 5.006
median(irisSetosa[,1])
## [1] 5
mean(irisVersicolor[,1])
## [1] 5.936
median(irisVersicolor[,1])
## [1] 5.9
mean(irisVirginica[,1])
## [1] 6.588
median(irisVirginica[,1])
## [1] 6.5

 


Post a Comment