61. Multiple objects can be de parsed at once and read back using function . . . . . . . .
62. What will be the output of the following R code?
> x <- as.Date("2012-03-01")
> y <- as.Date("2012-02-28")
> x-y
> x <- as.Date("2012-03-01")
> y <- as.Date("2012-02-28")
> x-y
63. Which of the following opens connection to gz-compressed text file?
64. What will be the output of the following R code?
> x <- list(foo = 1:4, bar = 0.6)
> x
> x <- list(foo = 1:4, bar = 0.6)
> x
65. The . . . . . . . . function can be used to select columns of a data frame that you want to focus on.
66. What will be the output of the following R code?
> x <- list(a = list(10, 12, 14), b = c(3.14, 2.81))
> x[[c(1, 3)]]
> x <- list(a = list(10, 12, 14), b = c(3.14, 2.81))
> x[[c(1, 3)]]
67. What will be the output of the following R code?
> p <- as.POSIXlt(x)
> names(unclass(p))
> p$wday
> p <- as.POSIXlt(x)
> names(unclass(p))
> p$wday
68. There is an SQL interface for relational databases via the . . . . . . . . package.
69. dput() output is in the form of . . . . . . . .
70. Unlike writing out a table or CSV file, dump() and dput() preserve the . . . . . . . . so that another user doesn't have to specify the all over again.
Read More Section(Data Structures in R Programming)
Each Section contains maximum 100 MCQs question on Data Structures in R Programming. To get more questions visit other sections.