library(learnr) library(readr) knitr::opts_chunk$set(echo = FALSE)
my_data
in R, write R code to write the data frame into a .csv file named "my_data_no_name.csv" without column names. my_data
in R which contains NA
values, write R code to write the data frame into a delimited file called "my_data_na.csv" with #
as the delimiter and use 999
as the indicator for missing values. *
as the delimiter and the file is located in the current working directory. Write R code to read the file into an object with name my_data
.d1 <- read_csv("x,y,z 1,3,5 2,4,6", col_names = FALSE)
Which of the following are the column names of the d1
?
X1
, X2
, and X3
x
, y
, and z
First, run the code below.
read_csv("The first line The second line The third line x,y,z 1,3,5", )
Which of the following are the column names of the d1
?
Which of the following is a valid object name in R?
2.True
else
I_am_not_a_valid_name
I_am_a_Pretty#_name
Write R code to get the list of all objects in the environment.
vec_1
with values (7, 24, 8, 26), get its length, and find out its type. char_1
with values ("I", "am", "learning", "R!"), get its length, find out its type, and concatenate the vector into a single string with space as the separator.char_1
defined in Q2, find the number of characters in each string, and convert each string to upper case. vec_1
and char_1
are of character type. Let class1 <- c(7, TRUE)
. Which of the following is the class of class1
?
numeric
character
Let class2 <- c(7, TRUE, "char")
. Which of the following is the class of class2
?
numeric
rep()
function to create the stringc("sheep","pig", "cat","sheep","pig", "cat","sheep","pig", "cat")
rep()
function to create the stringc("sheep","sheep","pig","pig","pig","pig","cat","cat","cat")
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