# ============================================================
# Tugas1ProbasBab2
# Muhammad Yusuf
# NIM: 2409106093
# Disusun dari contoh kode dalam PDF tugas (11 halaman)
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# 1. Menyimpan Data dalam Variabel (fungsi c)
simpan <- c(10, 20, 40, 15, 40)
simpan
## [1] 10 20 40 15 40
simpan <- c(1000, 2000, 3000, 4000, 5000)
simpan
## [1] 1000 2000 3000 4000 5000
# 2. Mengakses Nilai Data dalam Variabel secara Individual
simpan <- c(10, 20, 40, 15, 40)
simpan[3]
## [1] 40
simpan[4]
## [1] 15
simpan[c(1, 3, 4)]
## [1] 10 40 15
simpan[2:4]
## [1] 20 40 15
# 3. Mengubah Nilai Data dalam Variabel
simpan <- c(10, 20, 40, 15, 40)
simpan
## [1] 10 20 40 15 40
simpan[3] <- 100
simpan[4] <- 10000
simpan
## [1] 10 20 100 10000 40
# 4. Menghapus Nilai Data dalam Variabel
NILAI <- c(10, 40, 45, 30, 80)
NILAI
## [1] 10 40 45 30 80
NILAI <- NILAI[-3]
NILAI
## [1] 10 40 30 80
NILAI <- NILAI[-4]
NILAI
## [1] 10 40 30
# Menghapus elemen ke-1 dan ke-3 dari vektor yang tersisa
NILAI <- NILAI[c(-1, -3)]
NILAI
## [1] 40
# 5. Penggunaan Operator > (Lebih Besar Dari)
NILAI <- c(100, 95, 70, 80, 25, 60, 80, 60, 55, 90)
NILAI
## [1] 100 95 70 80 25 60 80 60 55 90
NILAI[NILAI > 80]
## [1] 100 95 90
# 6. Penggunaan Operator < (Lebih Kecil Dari)
NILAI <- c(100, 95, 70, 80, 25, 60, 80, 60, 55, 90)
NILAI
## [1] 100 95 70 80 25 60 80 60 55 90
NILAI[NILAI < 70]
## [1] 25 60 60 55
# 7. Penggunaan Operator & (Dan)
NILAI <- c(100, 95, 70, 80, 25, 60, 80, 60, 55, 90)
NILAI
## [1] 100 95 70 80 25 60 80 60 55 90
NILAI[NILAI > 60 & NILAI < 80]
## [1] 70
# 8. Penggunaan Operator | (Atau)
NILAI <- c(100, 95, 70, 80, 25, 60, 80, 60, 55, 90)
NILAI
## [1] 100 95 70 80 25 60 80 60 55 90
NILAI[NILAI > 80 | NILAI < 30]
## [1] 100 95 25 90
# 9. Lebih Lanjut Penggunaan Operator <
NILAI <- c(100, 95, 70, 80, 25, 60, 80, 60, 55, 90)
NILAI
## [1] 100 95 70 80 25 60 80 60 55 90
NILAI <- NILAI[NILAI < 75]
NILAI
## [1] 70 25 60 60 55
NILAI <- c(100, 95, 70, 80, 25, 60, 80, 60, 55, 90)
NILAI
## [1] 100 95 70 80 25 60 80 60 55 90
NILAI <- NILAI[NILAI > 90]
NILAI
## [1] 100 95
# 10. Contoh Sederhana Penggunaan Bahasa Pemrograman R
fungsi <- function(x) {
for (i in 1:length(x)) {
if (x[i] < 65) {
x[i] <- x[i] + 10
}
print(x[i])
}
}
A <- c(100, 95, 70, 80, 25, 60, 80, 60, 55, 90)
fungsi(A)
## [1] 100
## [1] 95
## [1] 70
## [1] 80
## [1] 35
## [1] 70
## [1] 80
## [1] 70
## [1] 65
## [1] 90
# 11. Jenis Data R
mode(1000)
## [1] "numeric"
simpan <- c(1000)
mode(simpan)
## [1] "numeric"
mode("HALLO")
## [1] "character"
simpan <- c("HALLO")
mode(simpan)
## [1] "character"
d <- c(FALSE)
d
## [1] FALSE
a <- c(TRUE)
a
## [1] TRUE
mode(d)
## [1] "logical"
mode(a)
## [1] "logical"
kuadrat <- function(x) {
print(x * x)
}
A <- c(4)
kuadrat(A)
## [1] 16
mode(kuadrat)
## [1] "function"
# 12. Operator +, -, *, /, ^, dan %%
A <- c(1, 2, 3)
B <- c(4, 5, 6)
C <- A + B
C
## [1] 5 7 9
A <- c(1, 2, 3)
B <- 2 + A
B
## [1] 3 4 5
A <- c(2, 4, 6)
B <- c(1, 3, 5)
B - A
## [1] -1 -1 -1
A <- c(4, 8, 12)
A * 0.5
## [1] 2 4 6
A <- c(4, 8, 12)
B <- c(2, 2, 2)
A / B
## [1] 2 4 6
A <- c(3, 6, 1)
B <- c(2, 2, 0)
A ^ B
## [1] 9 36 1
A <- c(5, 2, 7)
B <- c(3, 2, 6)
C <- A %% B
C
## [1] 2 0 1
# 13. Fungsi length dan sort
A <- c(100, 70, 80, 55, 80, 70, 80)
length(A)
## [1] 7
A <- c(70, 80, 50, 25, 100, 60)
sort(A)
## [1] 25 50 60 70 80 100
# 14. Fungsi diff
A <- c(100, 50, 70, 80, 60)
diff(A)
## [1] -50 20 10 -20
# 15. Fungsi sum
A <- c(50, 60, 70, 80)
sum(A)
## [1] 260
# 16. Fungsi sqrt
a <- sqrt(81)
a
## [1] 9
b <- sqrt(a)
b
## [1] 3
# 17. Fungsi max dan min
A <- c(10, 25, 90, 75, 95, 57)
max(A)
## [1] 95
min(A)
## [1] 10
# 18. Fungsi exp
exp(1)
## [1] 2.718282
exp(2)
## [1] 7.389056
# 19. Fungsi pi
pi
## [1] 3.141593
options(digits = 3)
pi
## [1] 3.14
options(digits = 10)
pi
## [1] 3.141592654
# 20. Fungsi seq
seq(from = 1, to = 10)
## [1] 1 2 3 4 5 6 7 8 9 10
seq(from = 2, by = 0.5, length.out = 4)
## [1] 2.0 2.5 3.0 3.5
panggil <- function(x, y, z) {
a <- x
print(a)
for (i in x:z) {
a <- a + y
if (a > z) {
break
}
print(a)
}
}
panggil(2, 3, 30)
## [1] 2
## [1] 5
## [1] 8
## [1] 11
## [1] 14
## [1] 17
## [1] 20
## [1] 23
## [1] 26
## [1] 29
seq(2, 30, 3)
## [1] 2 5 8 11 14 17 20 23 26 29
# 21. Fungsi table dan proporsi frekuensi
A <- c(10, 10, 30, 10, 30, 10, 10, 40, 40, 70, 90, 70, 80, 60, 60, 90)
table(A)
## A
## 10 30 40 60 70 80 90
## 5 2 2 2 2 1 2
table(A) / length(A)
## A
## 10 30 40 60 70 80 90
## 0.3125 0.1250 0.1250 0.1250 0.1250 0.0625 0.1250
hasil <- c("ya", "tidak", "ya", "ya", "ya",
"ya", "tidak", "ya", "tidak", "ya")
table(hasil)
## hasil
## tidak ya
## 3 7
table(hasil) / length(hasil)
## hasil
## tidak ya
## 0.3 0.7
# 22. Fungsi factor
A <- c("ikan", "ikan", "udang", "ikan", "ikan", "udang")
factor(A)
## [1] ikan ikan udang ikan ikan udang
## Levels: ikan udang
# Catatan: pada PDF, salah satu nilai tertulis "d iploma" (ada spasi).
# Ditulis sesuai teks PDF agar contoh sumber tetap dapat dikenali.
A <- c("sarjana", "diploma", "sarjana", "pengangguran",
"sarjana", "diploma", "d iploma", "pengangguran")
factor(A)
## [1] sarjana diploma sarjana pengangguran sarjana
## [6] diploma d iploma pengangguran
## Levels: d iploma diploma pengangguran sarjana
# 23. Fungsi barplot
A <- c(10, 10, 10, 10, 20, 20, 30, 30, 30, 30, 30, 30)
barplot(table(A))
barplot(table(A) / length(A))
# 24. Fungsi plot
A <- c(10, 10, 10, 10, 10, 20, 20, 20, 30, 30, 40)
table(A)
## A
## 10 20 30 40
## 5 3 2 1
nilai <- c(10, 20, 30, 40)
frekuensi <- c(5, 3, 2, 1)
plot(nilai, frekuensi)
A <- c(10, 10, 10, 10, 10, 20, 20, 20, 30, 30, 40)
plot(table(A))
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# Akhir kode dari materi PDF
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