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These are the answers to LinkedIn Skill Assessment | R Programming Assessment Answers 2021 free certification course. These answers have been updated recently and are 100% correct. The final exam is on Monday, April. All answers are 100%.
Q1. What do you use to take an object such as a data frame out of the workspace?
Q2. Which is not a property of lists and vectors?
Q3. Review the following code. What is the result of line 3?
xvect<-c(1,2,3)xvect <- “2”xvect
-  1 2 3
-  “1” 2 “3”
-  “1” “2” “3”
-  7 9
Q4. What value does this statement return?
Q5. The variable height is a numeric vector in the code below. Which statement returns the value 35?
Q6. In the image below, the data frame on lines 1 through 4 is names StDf. State and Capital are both factors. Which statement returns the results shown on lines 6 and 7?
Q7. 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
- trimmed sample
- sample <– not sure
Q8. Which choice does R regard as an acceptable name for a variable?
Q9. 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.
Q10. 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.
Q11. 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?
- history(max.show = 25)
Q12. What is mydf$y in this code?
mydf <- data.frame(x=1:3, y=c(“a”,”b”,”c”), stringAsFactors=FALSE)
- character vector
Q13. d.pizza is a data frame. It’s column named temperature contains only numbers. If u extract temperature using the  accessors, its class defaults to numeric. How can you access temperature so that it retains the class of data.frame?
> class( d.pizza[ , “temperature” ] )> “numeric”
- class( d.pizza( , “temperature” ) )
- class( d.pizza[ , “temperature” ] )
- class( d.pizza$temperature )
- class( d.pizza[ , “temperature”, drop=F ] )
Q14. 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)
Q15. What does c contain?
a <- c(3,3,6.5,8)b <- c(7,2,5.5,10)c <- a < b
-  NaN
-  -4
-  4 -1 -1 2
-  TRUE FALSE FALSE TRUE
Q16. What statement shows the objects on your workspace?
Q17. 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”.
Q18. Review line 1 below. What does the statement in line 2 return?
1 mylist <- list(1,2,”C”,4,5)2 unlist(mylist)
-  1 2 4 5
-  “1” “2” “C” “4” “5”
-  1 2 C 4 5
Q19. How does a vector differ from a list?
- Vectors are used only for numeric data, while list 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.
Q20. What function joins two or more column vectors to form a data frame?
Q21. 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(Var1,Var2, mydata)
Q22. Which set of two statements-followed by the cbind() function-results in a data frame named vbound?
- [ ] v1<-list(1,2,3)
- [ ] v1<-c(1,2,3)
- [ ] v1<-c(1,2,3)
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)
- mean <- rbind(d.pizza,count)
Q24. What is the value of y in this code?
x <- NAy <- x/1
Q25. 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()
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 or FALSE values, depending on whether the first character in an ournames record is C
Q27. Given DFMerged <- merge(DF1, DF2) and the image below, how manu rows are in DFMerged?
DF1(data frame 1): DF2(data frame 2):VarA VarB VarA VarD
1 1 2 1 18 212 4 5 2 19 223 7 8 3 20 23
Q28. What is the value of names(v)?v <- 1:3names(v) <- c(“a”, “b”, “c”)
v <- 4
Q29. 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:  2 3 4
- x[c(2, 3, 4)]
- x[c(-1, 0, 0, 0)]
- x[c(-1, 2, 3, 4)]