The following data relates to the number of items produced per shift by two workers for a number of days.
| Worker A | 19 | 22 | 24 | 27 | 24 | 18 |
| Worker B | 26 | 37 | 40 | 35 | NA | NA |
(a) Write R command to create a list named LT with worker's data. Also, after creating the list, do the following tasks:
(i) Use a suitable loop function to compute the mean of number of items produced by each worker in a single line command.
(ii) Extract the worker A data from it by using two different approaches.
LT <- list(WorkerA = c(19, 22, 24, 27, 24, 18), WorkerB _________ __________ _________ ___ _____.
__________ _________ _______ ____ _____ __________ ___ _________ __________ ______.
__________ _________ ________ _____ ____ _____ _________ _____ ___ _____ ____.
________ ________ _____ _______ _____ ______.
____ _________ ___ ___ ______ _______ ___ ___.
_________ _______ __________ _________ _______ ____.
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Create following two matrices A and B with following elements.
Write R commands to do the following tasks:
(i) Multiply the two matrices.
(ii) Combine the two matrices row-wise.
(iii) Create a function that computes the following expression:
Create a function to compute ranks (in case of tied ranks) of the given data.
Create a date object named Ddata consisting of the following dates.
26Jan2023, 15Aug2023, 020ct2023, 05Sep2023
Write the output of the following statements:
(i) rep(x=c(T, F, T, F), times=c(2,1,2,3))
(ii) 5%/%3; diag (3)
(b) Differentiate between the use of the sep and collapse arguments of the paste() function.
(c) Write R commands to create a bar plot of the following data by using arguments of the used function for filling up the bars and to give labels to the axis:
5, 10, 8, 7, 8, 5, 8, 7, 5, 8, 9, 6, 8, 8, 8
(d) Check whether the given loop is finite or infinite. If infinite, do the necessary changes in the written loop to make it finite.
x<-0
repeat{
print(x^2)
x<-x+1
if(x<5) print(x) }2.
Write R command to create a data frame named DF with worker's data and do the following tasks:
(i) Use suitable function to remove NA from the data and then create a scatter plot.
(ii) Write the known data obtained in step (i) to a.txt file named "WORK".
Create a data frame named RData consisting of the following data:
Write R commands to:
(i) Compute the group wise means of x, y and z according to the groups defined by w column using apply family function.
(ii) Sort RData according the y column of it.
Create an array of two dimension with following elements.
Also, extract the row shown in the rectangular box.