R-Program yaitu
sebuah perangkat lunak yang digunakan untuk komputasi statistik dan grafik. Ia
tersusun dan dapat berjalan pada berbagai platform UNIX, Windows dan MacOS.
1.
Buka Aplikasi R-Programing, seperti berikut:![](data:image/png;base64,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)
Untuk menghapus layar yaitu Pilih Menu
edit,Clear console, hasil nya seperti berikut:
2.
Setelah layar bersih lalu masukan data
Sebanyak “ 60 data ” seperti berikut:
41,45,49,51,52,53,55,56,63,57,57,58,59,60,61,67,62,56,63,35,65,65,65,67,67,73,61,69,69,96,69,70,71,71,77,79,73,93,73,81,75,75,77,77,89,67,79,79,81,59,83,83,87,89,71,92,81,65,84,73
Dan perintah untuk menginputkan data pada
R-Programing sebagai berikut:
data=c(41,45,49,51,52,53,55,56,63,57,57,58,59,60,61,67,62,56,63,35,65,65,65,67,67,73,61,69,69,96,69,70,71,71,77,79,73,93,73,81,75,75,77,77,89,67,79,79,81,59,83,83,87,89,71,92,81,65,84,73)
Untuk Mengurutkan data :
> sort(data)
Hasilnya Seperti Berikut:
Hasil pengurutan data nya di tunjukan oleh
angka yang biru.
3.
Untuk
mencari Nilai terendah Menggunakan Perintah “ min(data) “seperti berikut:
4.
Untuk mencari
Nilai tertinggi Menggunakan Perintah “ max(data) “ seperti berikut:
5.
Untuk mencari
Banyak nya data Tersebut yaitu “ length(data)” seperti berikut:![](data:image/png;base64,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)
7.
Dan Untuk Membulatkan Nilai rata-rata kelas
tersebut Menggunakan “ round(jmlkls) sebagai berikut:
![](data:image/png;base64,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)
8.
Karena tadi kita telah menghitung nilai minimum
dan maxsimum maka sekarang kita dapat amencari nilai jangkauan yaitu
“jangkauan=max(data)-min(data)” Lalu enter dan tuliskan “jangkauan” seperti
berikut:
9.
Dan karena kita sudah mencari nilai jangkauan
dan jumlah kelas maka kita dapat mencari
nilai Interval yaitu jarak antar
kelas “ int=jangkauan/jumlahkelas” seperti berikut:
10.
Seperti
tadi di atas untuk membulatkan
nilai interfal tersebut menggunakan “round(interfal)” seperti berikut:
Dan hasil tabel nya sepeti berikut dan
masukan data:
Kemudin Close Tabel
Lalu masukan perintah “ >g “ dan data kelas pun akan di tampilkan
seperti berikut:
12.
Untuk mencari Frekunsi kelas kita
mengunakan rumus sepetri berikut::
frekuensi=function(x,y,z)
a=a+1{
a=0
for(i in 1:length(x))
{
if(x[i]>=y&&x[i]<=z)
{
a=a+1
print(a)
}
}
}
Hasil nya seperti berikut:
Lalu masukan perintah “ >frekuensi “ sepetri berikut:
Setelah itu kita akan mencari Frekuensi masing-Masing kelas maka masukan perintah:
a. ” frekuensi(data,35,43) “ Data kelas pertama, hasil nya seperti
berikut:![](data:image/png;base64,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)
Hasil Frekunsi nya = 2.
Hasil Frekunsi nya = 2.
b.
” frekuensi(data,44,52) “ Data kelas pertama, hasil nya seperti
berikut:![](data:image/png;base64,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)
Hasil
Frekunsi nya = 4.
c. ” frekuensi(data,53,61) “ Data kelas pertama, hasil nya seperti
berikut:
Hasil
Frekunsi nya = 12.
d.
” frekuensi(data,60,70) “ Data kelas pertama, hasil nya seperti
berikut:
![](file:///C:\Users\NANASU~1\AppData\Local\Temp\msohtmlclip1\01\clip_image053.gif)
Hasil
Frekunsi nya = 15
e. ” frekuensi(data,71,79) “ Data kelas pertama, hasil nya seperti
berikut:![](data:image/png;base64,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)
Hasil
Frekunsi nya = 15.
f. ” frekuensi(data,80,88) “ Data kelas pertama, hasil nya seperti
berikut:
Hasil
frekunsi nya = 7.
g. ” frekuensi(data,89,96) “ Data kelas pertama, hasil nya seperti
berikut:
Hasil
frekunsi nya = 5.
13.Sekarang Kita akan menginput nilai frekunsi dengan menggunakan Tabel yang tadi telah kita
gunakan untuk menginput kelas , yaitu menggunakan perintah
“g=edit(data.frame(g))” seperti berikut:
Dan hasil tabel nya sepeti berikut dan
masukan data:
Lalu Close TABEL.
Lalu masukan perintah “ >g “ dan data frekunsi pun akan di tampilkan seperti berikut:
14. Sekarang Kita akam mencari median dari data kelas
tersebut yaitu dengan mengunakan perintah “ median=35+43/9 ” lalu enter dan
masukan perintah “ median “ dan hasil nya seperti:![](data:image/png;base64,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)
Untuk membulat kan Hasil median gunakan merintah
“ round(median)” seperti:![](data:image/png;base64,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)
Untuk mencari median per kelas yaitu
menggunakan perintah:
a.
Untuk kelas pertama 35-43 “ median(35 : 43) ”
hasil nya seperti berikut:
Hasil median nya = 39
b.
Untuk kelas pertama 44-52“ median(44: 52) ”
hasil nya seperti berikut:
Hasil median = 48
c.
Untuk kelas pertama 53-61 “ median(53 : 61) ”
hasil nya seperti berikut:
Hasil median =57
d.
Untuk kelas pertama 62-70 “ median(62 : 70) ”
hasil nya seperti berikut:
Hasil medin =66
e.
Untuk kelas pertama 71-79 “ median(71 : 79) ”
hasil nya seperti berikut:![](data:image/png;base64,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)
Hasil median= 75
f.
Untuk kelas pertama 80-88 “ median(80 : 88) ”
hasil nya seperti berikut:
Hasil median=84
g.
Untuk kelas pertama 89-96 “ median(89 : 96) ”
hasil nya seperti berikut:
Hasil medin= 92.5
15.Sekarang Kita akan menginput nilai frekunsi dengan menggunakan Tabel yang tadi telah kita
gunakan untuk menginput kelas , yaitu menggunakan perintah
“g=edit(data.frame(g))” seperti berikut:
Lalu masukan perintah “ >g “ dan data Median pun akan di tampilkan dan hasil akhir nya
seperti berikut:
16.
Sekarang kita akan membuat Diagram grafik dari data kelas tersebut
Menggunakan perintah: hist(data,main="Data
Statistik",col="red",border="blue")
17.
Membuat grafik Poligon
nya dari data tersebut adalah:
titiktengah=c(39,48,57,66,75,84,92.5)
frekuensi=c(2,4,12,15,15,7,4)
plot(titiktengah,frekuensi,main="Data
Statistik")
polygon(titiktengah,frekuensi,col="blue")
Selesai.......
Categories:
Tulisan Pengetahuan
Thankssss Bro !
oh ya yg terakhir harusnya
polygon(titiktengah,frekuensi,main="Data Statistik",col="blue")
bukan polygon(titiktengah,frekuensi,col="blue") hehe
CMIIW
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