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1. ANALISIS UNIVARIAT
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simpan = read.table("4.1komstat.csv", header = TRUE, sep=";")
simpan
data_1=simpan$data1 #data_1 menyimpan data1
data_11 = na.omit(data_1) #data_11 menyimpan data1, tanpa NA
data_2=simpan$data2 #data_2 menyimpan data2
data_21=na.omit(data_2) #data_21 menyimpan data2, tanpa NA
data_3=simpan$data3 #data_3 menyimpan data3
data_31=na.omit(data_3) #data_31 menyimpan data3, tanpa NA
data_1 #menampilkan data1 atau data pada Tabel 4.1
## [1] 1 2 3 4 5 6 7 8 9 10 11 11 12 13 14 15 16 17 18
data_11 #menampilkan data1 atau data pada Tabel 4.1, dengan menghapus NA
## [1] 1 2 3 4 5 6 7 8 9 10 11 11 12 13 14 15 16 17 18
data_2 #menampilkan data2 atau data pada Tabel 4.3
## [1] 10 10 10 20 20 30 30 30 30 30 30 30 40 40 40 50 50 50 50
data_21 #menampilkan data2 atau data pada Tabel 4.3, dengan menghapus NA
## [1] 10 10 10 20 20 30 30 30 30 30 30 30 40 40 40 50 50 50 50
data_3 #menampilkan data3 atau data pada Tabel 4.9
## [1] 1 2 2 3 3 3 3 3 4 4 4 5 5 6 6 NA NA NA NA
data_31 #menampilkan data3 atau data pada Tabel 4.9, dengan menghapus NA
## [1] 1 2 2 3 3 3 3 3 4 4 4 5 5 6 6
## attr(,"na.action")
## [1] 16 17 18 19
## attr(,"class")
## [1] "omit"
suppressWarnings(library(psych)) #mengaktifkan package "psych" yang di dalamnya menyediakan fungsi describe()
describe(data_11) #menyajikan ukuran gejala pusat, letak, pencaran, kemiringan, dan kurtosis untuk data1
describe(data_21) #menyajikan ukuran gejala pusat, letak, pencaran, kemiringan, dan kurtosis untuk data2
describe(data_31) #menyajikan ukuran gejala pusat, letak, pencaran, kemiringan, dan kurtosis untuk data3
library(pastecs)
## Warning: package 'pastecs' was built under R version 4.5.3
stat.desc(data_11)
## nbr.val nbr.null nbr.na min max range
## 19.0000000 0.0000000 0.0000000 1.0000000 18.0000000 17.0000000
## sum median mean SE.mean CI.mean.0.95 var
## 182.0000000 10.0000000 9.5789474 1.1928535 2.5060921 27.0350877
## std.dev coef.var
## 5.1995276 0.5428078
stat.desc(data_21)
## nbr.val nbr.null nbr.na min max range
## 19.0000000 0.0000000 0.0000000 10.0000000 50.0000000 40.0000000
## sum median mean SE.mean CI.mean.0.95 var
## 600.0000000 30.0000000 31.5789474 3.0839291 6.4790946 180.7017544
## std.dev coef.var
## 13.4425353 0.4256803
stat.desc(data_31)
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2. ANALISIS BIVARIAT & MULTIVARIAT
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simpan=read.table("4.2komstat.csv",header=TRUE, sep = ";") #membaca data4.1
simpan
library(psych)
describeBy(simpan$IQ, simpan$jurusan.angka)
##
## Descriptive statistics by group
## group: 1
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 6 104 3.79 103 104 2.97 101 111 10 0.86 -0.93 1.55
## ------------------------------------------------------------
## group: 2
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 6 102.5 1.38 102.5 102.5 2.22 101 104 3 0 -2.06 0.56
describeBy(simpan$IQ, simpan$jurusan.label)
##
## Descriptive statistics by group
## group: matematika
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 6 104 3.79 103 104 2.97 101 111 10 0.86 -0.93 1.55
## ------------------------------------------------------------
## group: statistika
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 6 102.5 1.38 102.5 102.5 2.22 101 104 3 0 -2.06 0.56
describeBy(simpan$EQ, simpan$jurusan.angka)
##
## Descriptive statistics by group
## group: 1
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 6 103.83 1.6 104 103.83 2.22 102 106 4 -0.02 -1.82 0.65
## ------------------------------------------------------------
## group: 2
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 6 104 4.15 103 104 2.22 101 112 11 1.05 -0.59 1.69
describeBy(simpan$EQ, simpan$jurusan.label)
##
## Descriptive statistics by group
## group: matematika
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 6 103.83 1.6 104 103.83 2.22 102 106 4 -0.02 -1.82 0.65
## ------------------------------------------------------------
## group: statistika
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 6 104 4.15 103 104 2.22 101 112 11 1.05 -0.59 1.69
library(doBy)
## Warning: package 'doBy' was built under R version 4.5.3
summaryBy(IQ + EQ ~ jurusan.label + jenis.label, data = simpan, FUN = function(x)
{ c(ratarata = mean(x), standar_deviasi = sd(x), jumlah=sum(x) ) } )