> typeof(cars)[1] "list"> names(car

> typeof(cars)
[1] "list"
> names(cars)
[1] "speed" "dist"
> summary(cars)
speed dist
Min. : 4.0 Min. : 2.00
1st Qu.:12.0 1st Qu.: 26.00
Median :15.0 Median : 36.00
Mean :15.4 Mean : 42.98
3rd Qu.:19.0 3rd Qu.: 56.00
Max. :25.0 Max. :120.00
The data.frame contains two variables, one recording the speed of the
observed cars in mph, the other the stopping distance measured in feet – the
observations were made in the 1920s. When uncertain about the structure of
something in our R workspace, revealed for example by using the ls function
for listing the contents of the workspace, the str3 method often gives a clear
digest, including the size and class:
> str(cars)
'data.frame': 50 obs. of 2 variables:
$ speed:num 4 4 7 7 8 ...
$ dist :num 2 10 4 22 16 ...
Data frames are containers for data used everywhere in S since their full
introduction in Chambers and Hastie (1992, pp. 45–94). Recent and shorter
introductions to data frames are given by Crawley (2005, pp. 15–22), Crawley
(2007, pp. 107–133), and Dalgaard (2002, pp. 18–19) and in the online documentation
(Venables et al., 2008, pp. 27–29 in the R 2.6.2 release). Data
frames view the data as a rectangle of rows of observations on columns of values
of variables of interest. The representation of the values of the variables
of interest can include integer and floating point numeric types, logical, character,
and derived classes. One very useful derived class is the factor, which
is represented as integers pointing to character levels, such as ‘forest’ or
‘arable’. Printed, the values look like character values, but are not – when
a data frame is created, all character variables included in it are converted
to factor by default. Data frames also have unique row names, represented
as an integer or character vector or as an internal mechanism to signal that

Hasil (Bahasa Indonesia) 1:

> typeof(cars)[1] "list"> names(cars)[1] "speed" "dist"> summary(cars)speed distMin. : 4.0 Min. : 2.001st Qu.:12.0 1st Qu.: 26.00Median :15.0 Median : 36.00Mean :15.4 Mean : 42.983rd Qu.:19.0 3rd Qu.: 56.00Max. :25.0 Max. :120.00The data.frame contains two variables, one recording the speed of theobserved cars in mph, the other the stopping distance measured in feet – theobservations were made in the 1920s. When uncertain about the structure ofsomething in our R workspace, revealed for example by using the ls functionfor listing the contents of the workspace, the str3 method often gives a cleardigest, including the size and class:> str(cars)'data.frame': 50 obs. of 2 variables:$ speed:num 4 4 7 7 8 ...$ dist :num 2 10 4 22 16 ...Data frames are containers for data used everywhere in S since their fullintroduction in Chambers and Hastie (1992, pp. 45–94). Recent and shorterintroductions to data frames are given by Crawley (2005, pp. 15–22), Crawley(2007, pp. 107–133), and Dalgaard (2002, pp. 18–19) and in the online documentation(Venables et al., 2008, pp. 27–29 in the R 2.6.2 release). Dataframes view the data as a rectangle of rows of observations on columns of valuesof variables of interest. The representation of the values of the variablesof interest can include integer and floating point numeric types, logical, character,and derived classes. One very useful derived class is the factor, whichdirepresentasikan sebagai bilangan bulat menunjuk ke tingkat karakter, seperti 'hutan' atau'subur'. Dicetak, nilai terlihat seperti nilai-nilai karakter, tetapi tidak-ketikabingkai data dibuat, semua variabel karakter yang termasuk di dalamnya dikonversiuntuk faktor secara default. Data frame juga memiliki nama unik baris, mewakilisebagai vektor bilangan bulat atau karakter atau sebagai mekanisme internal untuk sinyal yang

Hasil (Bahasa Indonesia) 2:

> Typeof (mobil)
[1] "daftar"
> nama (mobil)
[1] "kecepatan" "dist"
> ringkasan (mobil)
kecepatan dist
Min. : 4.0 Min. : 2.00
1 Qu:. 12.0 1 Qu .: 26.00
Median: 15.0 Median: 36.00
Berarti: 15,4 Berarti: 42,98
3. Qu:. 19,0 3 Qu .: 56.00
Max. : 25.0 Max. : 120.00
data.frame berisi dua variabel, satu rekaman kecepatan
mobil yang diamati di mph, yang lain jarak berhenti diukur dalam kaki - yang
pengamatan dilakukan pada tahun 1920. Ketika pasti tentang struktur
sesuatu dalam R ruang kerja kami, mengungkapkan misalnya dengan menggunakan fungsi ls
untuk daftar isi ruang kerja, metode str3 sering memberikan jelas
digest, termasuk ukuran dan kelas:
> str (mobil)
'Data .frame ': 50 obs. dari 2 variabel:
$ kecepatan: num 4 4 7 7 8 ...
$ dist: num 2 10 4 22 16 ...
frame data adalah wadah untuk data yang digunakan di mana-mana di S sejak penuh
pengenalan di Chambers dan Hastie (1992, pp . 45-94). Baru-baru ini dan lebih pendek
perkenalan ke frame data yang diberikan oleh Crawley (2005, hlm. 15-22), Crawley
(2007, hlm. 107-133), dan Dalgaard (2002, hlm. 18-19) dan dalam dokumentasi online
(Venables et al., 2008, hlm. 27-29 dalam rilis R 2.6.2). Data
frame melihat data sebagai persegi panjang baris pengamatan pada kolom nilai
variabel yang menarik. Representasi nilai-nilai variabel
yang menarik dapat mencakup bilangan bulat dan floating point jenis numerik, logis, karakter,
dan kelas turunan. Satu kelas turunan yang sangat berguna adalah faktor, yang
direpresentasikan sebagai bilangan bulat menunjuk ke tingkat karakter, seperti 'hutan' atau
'garapan'. Dicetak, nilai-nilai seperti nilai-nilai karakter, tetapi tidak - ketika
data frame dibuat, semua variabel karakter termasuk di dalamnya dikonversi
faktor secara default. Frame data juga memiliki nama baris yang unik, yang diwakili
sebagai integer atau karakter vektor atau sebagai mekanisme internal untuk sinyal bahwa