R (Programming Language) - LinkedIn Skill Assessments Quizzes with Answers

R (Programming Language)

Q1. How does a matrix differ from a data frame?

• A matrix may contain numeric values only.
• A matrix must not be singular.
• A data frame may contain variables that have different modes.
• A data frame may contain variables of different lengths.

Q2. What value does this statement return?

unclass(as.Date("1971-01-01"))

• 1
• 365
• 4
• 12

Q3. What do you use to take an object such as a data frame out of the workspace?

• remove()
• erase()
• detach()
• delete()

Q4. Review the following code. What is the result of line 3?

xvect<-c(1,2,3)
xvect[2] <- "2"
xvect

• [1] 1 2 3
• [1] “1” 2 “3”
• [1] “1” “2” “3”
• [1] 7 9

Q5. The variable height is a numeric vector in the code below. Which statement returns the value 35?

• height(length(height))
• height[length(height)]
• height[length[height]]
• height(5)

Q6. In the image below, the data frame is named rates. The statement sd(rates[, 2]) returns 39. As what does R regard Ellen’s product ratings?

• sample with replacement
• population
• trimmed sample
• sample <– not sure

Q7. Which choice does R regard as an acceptable name for a variable?

• Var_A!
• \_VarA
• .2Var_A
• Var2_A

Q8. What is the principal difference between an array and a matrix?

• A matrix has two dimensions, while an array can have three or more dimensions.
• An array is a subtype of the data frame, while a matrix is a separate type entirely.
• A matrix can have columns of different lengths, but an array’s columns must all be the same length.
• A matrix may contain numeric values only, while an array can mix different types of values.

Q9. Which is not a property of lists and vectors?

• type
• length
• attributes
• scalar

Q10. In the image below, the data frame on lines 1 through 4 is named StDf. State and Capital are both factors. Which statement returns the results shown on lines 6 and 7?

• StDf[1:2,-3]
• StDf[1:2,1]
• StDf[1:2,]
• StDf[1,2,]

Q11. Which function displays the first five rows of the data frame named pizza?

• BOF(pizza, 5)
• first(pizza, 5)
• top(pizza, 5)
• head(pizza, 5)

Q12. You accidentally display a large data frame on the R console, losing all the statements you entered during the current session. What is the best way to get the prior 25 statements back?

• console(-25)
• console(reverse=TRUE)
• history()
• history(max.show = 25)

Q13. d.pizza is a data frame. It’s a column named temperature contains only numbers. If you extract temperature using the [] accessors, its class defaults to numeric. How can you access temperature so that it retains the class of data.frame?

> class( d.pizza[ , "temperature" ] )
> "numeric"

• class( d.pizza( , "temperature" ) )
• class( d.pizza[ , "temperature" ] )
• class( d.pizza$temperature )
• class( d.pizza[ , "temperature", drop=F ] )

Q14. What does c contain?

a <- c(3,3,6.5,8)
b <- c(7,2,5.5,10)
c <- a < b

• [1] NaN
• [1] -4
• [1] 4 -1 -1 2
• [1] TRUE FALSE FALSE TRUE

Q15. Review the statements below. Does the use of the dim function change the class of y, and if so what is y’s new class?

> y <- 1:9
> dim(y) <- c(3,3)

• No, y’s new class is “array”.
• Yes, y’s new class is “matrix”.
• No, y’s new class is “vector”.
• Yes, y’s new class is “integer”.

Q16. What is mydf$y in this code?

mydf <- data.frame(x=1:3, y=c("a","b","c"), stringAsFactors=FALSE)

• list
• string
• factor
• character vector

Q17. How does a vector differ from a list?

• Vectors are used only for numeric data, while lists are useful for both numeric and string data.
• Vectors and lists are the same thing and can be used interchangeably.
• A vector contains items of a single data type, while a list can contain items of different data types.
• Vectors are like arrays, while lists are like data frames.

Q18. What statement shows the objects on your workspace?

• list.objects()
• print.objects()
• getws()
• ls()

Q19. What function joins two or more column vectors to form a data frame?

• rbind()
• cbind()
• bind()
• coerce()

Q20. Review line 1 below. What does the statement in line 2 return?

1 mylist <- list(1,2,"C",4,5)
2 unlist(mylist)

• [1] 1 2 4 5
• “C”
• [1] “1” “2” “C” “4” “5”
• [1] 1 2 C 4 5

Q21. What is the value of y in this code?

x <- NA
y <- x/1

• Inf
• Null
• NaN
• NA

Q22. Two variable in the mydata data frame are named Var1 and Var2. How do you tell a bivariate function, such as cor.test, which two variables you want to analyze?

• cor.test(Var1 ~ Var2)
• cor.test(mydata$(Var1,Var2))
• cor.test(mydata$Var1,mydata$Var2)
• cor.test(Var1,Var2, mydata)

Q23. A data frame named d.pizza is part of the DescTools package. A statement is missing from the following R code and an error is therefore likely to occur. Which statement is missing?

library(DescTools)
deliver <- aggregate(count,by=list(area,driver), FUN=mean)
print(deliver)

• attach(d.pizza)
• summarize(deliver)
• mean <- rbind(d.pizza,count)
• deliver[!complete.cases(deliver),]

Q24. How to name rows and columns in DataFrames and Matrices F in R?

• data frame: names() and rownames() matrix: colnames() and row.names()
• data frame: names() and row.names() matrix: dimnames() (not sure)
• data frame: colnames() and row.names() matrix: names() and rownames()
• data frame: colnames() and rownames() matrix: names() and row.names()

Q25. Which set of two statements-followed by the cbind() function-results in a data frame named vbound?

v1<-list(1,2,3)
v2<-list(c(4,5,6))
vbound<-cbind(v1,v2)

v1<-c(1,2,3)
v2<-list(4,5,6))
vbound<-cbind(v1,v2)

v1<-c(1,2,3)
v2<-c(4,5,6))
vbound<-cbind(v1,v2)

Q26. ournames is a character vector. What values does the statement below return to Cpeople?

Cpeople <- ournames %in% grep("^C", ournames, value=TRUE)

• records where the first character is a C
• any record with a value containing a C
• TRUE or FALSE, depending on whether any character in ournames is C
• TRUE and FALSE values, depending on whether the first character in an ournames record is C

Q27. What is the value of names(v[4])?

v <- 1:3
names(v) <- c("a", "b", "c")
v[4] <- 4

• ""
• d
• NULL
• NA

Q28. Which of the following statements doesn’t yield the code output below. Review the following code. What is the result of line 3?

x <- c(1, 2, 3, 4)
Output: [1] 2 3 4

• x[c(2, 3, 4)]
• x[-1]
• x[c(-1, 0, 0, 0)]
• x[c(-1, 2, 3, 4)]

Q29. Given DFMerged <- merge(DF1, DF2) and the image below, how manu rows are in DFMerged?

• 6
• 9
• 3
• 0

Q30. What does R return in response to the final statement?

x<-5:8
names(x)<-letters[5:8]
x

• e f g h “5” “6” “7” “8”
• 5 6 7 8
• e f g h
• e f g h 5 6 7 8

Q31. How do you return “October” from x in this code?

x<-as.Date("2018-10-01")

• attr()
• months(x)
• as.month(x)
• month(x)

Q32. How will R respond to the last line of this code?

fact<-factor(c("Rep","Dem","Dem","Rep"))
fact
[1] Rep Dem Dem Rep
Levels: Rep Dem
fact[2]<-"Ind"

• >
• [,2]Ind
• invalid factor level, NA generated
• Ind

Q33. What does R return?

StartDate<- as.Date("2020/2/28")
StopDate<- as.Date("2020/3/1")
StopDate-StartDate

• “1970-01-02”
• time difference of one day
• time difference of two days
• error in x-y: nonnumeric argument to binary operator

Q34. What does the expression mtrx * mtrx do ?

> mtrx <- matrix( c(3,5,8,4), nrow= 2,ncol=2,byrow=TRUE)
> newmat <- mtrx * mtrx

• it transpose mtrx
• it premultiplies the current netwmat row by the newmat column.
• it returns the results of a matrix multiplication
• It squares each cell in mtrx

Q35. Which function in R combines different values into a single object?

• connect()
• concat()
• contact()
• c()

Q36. Which file contains settings that R uses for all users of a given installation of R?

• Rdefaults.site
• Renviron.site
• Rprofile.site
• Rstatus.site

Q36. If mdf is a data frame, which statement is true ?

• ncol(mdf) equals length(mdf).
• The number of rows must equals the number of columns.
• The legnth of any column in mdf may differ from any other column in mdf
• All columns must have the same data type.

Q37. A list can contain a list as an element. MyList has five columns, and the third column’s item is a list of three items. How do you put all seven values in MyList into a single vector?

• vector(MyList, length = 7)
• coerce(MyList, nrows = 1)
• unlist(MyList)
• coerce(MyList, nrows = 7)

Q38. Which strings could be returned by the function ls(path = “^V”)?

• ANOVAData, anovadata
• VisitPCA, VarX
• VisitPCA, varx
• Xvar, Yvar

Q39. StDf is a data frame. Based on this knowledge, what does this statement return?

StDf[, -1]

• all but the first row and first column of StDf
• all but the final column of StDf
• all but the first column of StDf
• only the first column of StDf

Q40. Which statement enables you to interactively open a single file?

• file.list()
• file.select()
• file.choose()
• file.open()

Q41. How are these data types alike: logical, integer, numeric, and character?

• Each is a type of data frame.
• Each is a type of atomic vector.
• Each is a type of complex vector.
• Each is a type of raw vector.

Q42. What does the MyMat[ ,3] subsetting operation return for this code?

MyMat = matrix(c(7, 9, 8, 6, 10, 12),nrow=2,ncol=3, byrow = TRUE)

[ ,3]
[1, ] 8
[2, ] 12

[1] 8 12

[1] 10 12

[ ,3]
[1, ] 10
[2, ] 12

Q43. What does the function power.anova.test return?

• the probability of making a Type I error
• the probability of not making a Type II error
• the probability of making a Type II error
• the probability of not making a Type I error

Q44. Review the statement below. What is the effect of covariate:factor on the analysis?

result <- lm(outcome ~ covariate + factor + covariate:factor, data = testcoef)

• It forces the intercepts of the individual regressions to zero.
• It calls for the effect of the covariate within each level of the factor.
• It calls for the effect of each variable from covariate to factor in testcoef.
• It forces the covariate to enter the equation before the factor levels.

Q45. A variable whose type is numeric can contain which items?

• integers and real values
• integers, real, and raw values
• real values only
• integers, real, and logical values

Q46. What is the legitimate name of a data class in R?

• property
• integer
• number
• variant

Q47. How do you extract the values above the main diagonal from a square matrix named Rmat?

• Rmat[upper.tri(Rmat)]
• upper.triangular(Rmat)
• upper.tri(Rmat)
• upper.diag(Rmat)

Q48. x is a vector of type integer, as shown on line 1 below. What is the type of the result returned by the statement > median(x)?

x <- c(12L, 6L, 10L, 8L, 15L, 14L, 19L, 18L, 23L, 59L)

• numeric
• integer
• single
• double

Q49. A list named a is created using the statement below. Which choice returns TRUE?

a <- list("10", TRUE, 5.6)

• is.list(a[1])
• is.numeric(a[1])
• is.logical(a[1])
• is.character(a[1])

Q50. How do you return “October” from x in this code?

x <- as.Date("2018-10-01")

• as.month(x)
• months(x)
• month(x)
• attr(x)

Q51. How do you obtain the row numbers in a data frame named pizza for which the value of pizza$delivery_min is greater than or equal to 30?

late_delivery <- pizza$delivery_min >= 30
index_late <- index(late_delivery)
index_late

late_delivery <- pizza$delivery_min >= 30
rownum_late <- rownum(late_delivery)
rownum_late

late_delivery <- pizza$delivery_min >= 30
which_late <- which(late_delivery)
which_late

late_delivery <- pizza$delivery_min >= 30
late <- pizaa$late_delivery
pizza$late

Q52. Which function returns [1] TRUE FALSE TRUE?

indat <- c("Ash Rd","Ash Cir","Ash St")

• grepl("[Rd|Ave|Dr|St]", indat)
• grepl(“Rd|Ave|Dr|St”, indat)
• grepl(“Rd,Ave,Dr,St”, indat)
• grepl("[Rd],[Ave],[Dr],[St]", indat)

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