Control Structures In R Programming MCQ

Test your knowledge with important Control Structures In R Programming MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30 + more Control Structures In R Programming MCQs at Bissoy

• R code can be tested using . . . . . . . . package.
  ক

  Dplyr

  খ

  Hadley's testthat

  গ

  SKLearn

  ঘ

  KNN
• If a programmer wants the output to be a list then . . . . . . . . function is used.
  ক

  Lapply

  খ

  Sapply

  গ

  Vapply

  ঘ

  Zapply
• . . . . . . . . function is used for reading the .csv file in R language.
  ক

  Write.csv()

  খ

  Read.csv ()

  গ

  Let.csv()

  ঘ

  Table.csv()
• hat will be the output of the following R code?<br><pre><code class="r">&gt; centre &lt;- function(x, type) {+ switch(type,+ mean = mean(x),+ median = median(x),+ trimmed = mean(x, trim = .1))+ }&gt; x &lt;- rcauchy(10)&gt; centre(x, "mean")</code></pre>
  ক

  0.8760325

  খ

  0.5360891

  গ

  0.6086504

  ঘ

  gives mean with values depending on rcauchy values
• . . . . . . . . is one type of the simplest machine learning classification algorithms that is a subset of supervised learning based on lazy learning.
  ক

  K-Nearest Neighbour

  খ

  Naive Bayes

  গ

  Travelling Salesman

  ঘ

  N-Queen
• . . . . . . . . can contain heterogeneous inputs.
  ক

  Matrix

  খ

  Data Frames

  গ

  Matrix and Data Frames

  ঘ

  Does not exists
• . . . . . . . . allows you to insert debugging code into a function a specific places
  ক

  debug()

  খ

  trace()

  গ

  browser()

  ঘ

  traceback()
• . . . . . . . . prints out the function call stack after an error occurs.
  ক

  trace()

  খ

  traceback()

  গ

  back()

  ঘ

  traback()
• A . . . . . . . . in R programming language can also contain numeric and alphabets along with special characters like dot and underline.
  ক

  Variable name

  খ

  Number

  গ

  Integer

  ঘ

  Character
• You can check to see whether an R object is NULL with the . . . . . . . . function.
  ক

  is.null()

  খ

  is.nullobj()

  গ

  null()

  ঘ

  as.nullobj()
• debug() flags a function for . . . . . . . . mode in R mode.
  ক

  debug

  খ

  run

  গ

  compile

  ঘ

  recover
• Which of the following R code can be used to avoid numeric problems such as taking the logarithm of a negative number?
  ক

  if( any(x &lt; 0) ) y &lt;- log(1+x) else y &lt;- log(x)

  খ

  if( any(x &lt;= 0) ) y &lt;- log(1+x) else y &lt;- log(x)

  গ

  if( any(x &gt;= 0) ) y &lt;- log(1+x) else y &lt;- log(x)

  ঘ

  if( any(x &gt;&gt; 0) ) x &gt;- log(1+x) else x &lt;- log(x)
• If two vectors with different lengths perform some operation, the elements of the shorter vector will be used again to complete the operation. This is referred to as . . . . . . . .
  ক

  Element Recycling

  খ

  Recycling

  গ

  Cycling

  ঘ

  Element Cycling
• The current user defined objects like lists, vectors, etc. is referred to as . . . . . . . . in the R language.
  ক

  Work names

  খ

  Work space

  গ

  Environment

  ঘ

  Console
• . . . . . . . . can be used for storing the data for long-term.
  ক

  HDLS

  খ

  HDFS

  গ

  HDLSV

  ঘ

  HSSLV
• . . . . . . . . package in R language provides various options for re-randomization and permutations based on statistical tests.
  ক

  Coin

  খ

  Vain

  গ

  Join

  ঘ

  Lain
• . . . . . . . . function can be used to select the random sample of size 'n' from a huge dataset.
  ক

  Simple()

  খ

  Sample()

  গ

  While()

  ঘ

  Signal()
• . . . . . . . . allows you to modify the error behavior so that you can browse the function call stack
  ক

  debug()

  খ

  trace()

  গ

  recover()

  ঘ

  traceback()
• . . . . . . . . is the best way for communicating the results of data analysis using the R language.
  ক

  Single document

  খ

  Files

  গ

  Structures

  ঘ

  Loadings
• . . . . . . . . measures the probability of the binary response variable in R language.
  ক

  Logical Regression

  খ

  Multivariate Regression

  গ

  Simpler Regression

  ঘ

  Statistics
• . . . . . . . . variables are categorical variables which can hold either string or numeric values.
  ক

  Factor

  খ

  Simpler

  গ

  Function

  ঘ

  Package
• . . . . . . . . will produce a sequential vector c( (1,2,3,4,5,6,7,8,9)).
  ক

  Seq(9)

  খ

  Seq(10)

  গ

  Seq(15)

  ঘ

  Seq(12)
• . . . . . . . . initiates an infinite loop right from the start.
  ক

  never

  খ

  repeat

  গ

  break

  ঘ

  set
• Which of the variable in the following R code is variable?<br><pre><code class="r">&gt; f &lt;- function(x, y) {+ x^2 + y / z+ }</code></pre>
  ক

  x

  খ

  y

  গ

  z

  ঘ

  yy
• . . . . . . . . is used to apply a function over subsets of a vector.
  ক

  apply()

  খ

  lapply()

  গ

  tapply()

  ঘ

  mapply()
• The line of code in R language should begin with a . . . . . . . .
  ক

  Hash symbol

  খ

  Alphabet

  গ

  Number

  ঘ

  Character
• . . . . . . . . function is preferred over sapply as vapply allows the programmer to specific the output type.
  ক

  Lapply

  খ

  Japply

  গ

  Vapply

  ঘ

  Zapply
• Which of the following is valid syntax for if else statement in R?
  ক

  [ <p><span>A. <pre><code class="r">if(&lt;condition&gt;) { ## do something}else { ## do something else}</code></pre> <p><span>B. <pre><code class="r">if(&lt;condition&gt;) { ## do something}elseif { ## do something else}</code></pre>

  খ

  <pre><code class="r">if(&lt;condition&gt;) { ## do something}else if { ## do something else}</code></pre>

  গ

  <pre><code class="r">if(&lt;condition&gt;) { ##&amp; do something}else { ##@ do something else}</code></pre>
• . . . . . . . . require you to pass a function whose argument is a vector of parameters.
  ক

  optimize()

  খ

  optimise()

  গ

  opt()

  ঘ

  opm()
• The syntax of the for loop is?
  ক

  for ( $name in vector )<br>statement1

  খ

  for loop( name in vector )<br>statement1

  গ

  for ( name in vector )<br>statement1

  ঘ

  forif loop( name in vector )<br>statement1