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.
### Step 1: Create the Data Frame ```R RData <- data.frame( x = c(0.04, 0.82, 0.32, 0.39, 0.31, 0.83, 0.73, 0.32, 0.60, 0.65, 0.55, ______ __________ ____ ___ ______ ______.
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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:
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 an array of two dimension with following elements.
Also, extract the row shown in the rectangular box.
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 a function to compute ranks (in case of tied ranks) of the given data.
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 |
Create a date object named Ddata consisting of the following dates.
26Jan2023, 15Aug2023, 020ct2023, 05Sep2023