To divide data frame row values by row sum in R, we can follow the below steps −First of all, create a data frame.Then, use apply function to divide the data frame row values by row sum.Create the data frameLet's create a data frame as shown below − Live Demox

To create stacked bar chart using ggvis, we can follow the below steps −First of all, create a data frame.Create the stacked bar chart with layer_bars function of ggvis package.Create the data frameLet's create a data frame as shown below − Live DemoGroup

To convert year, month, and day of the month into a complete date, we can follow the below steps −Create a data frame with Year, Month and DayOfMonth as separate columns.Use mutate function of dplyr package to create complete date.Create the data frameLet's create a data frame as shown below − Live DemoYear

To divide data frame rows by number of columns in R, we can follow the below steps −First of all, create a data frame.Then, use apply function to divide the data frame rows by number of columns.Create the data frameLet's create a data frame as shown below − Live Demox

When we roll a die three times, the sample space contains two hundred and sixteen outcomes that is 216. If we want to generate the outcome of three throws of a die then expand.grid function can be used with rep and list function.Generating the outcome of three throws of a dieLet's create a data frame as shown below − Live Demoexpand.grid(rep(list(1:6),2))On executing, the above script generates the below output(this output will vary on your system due to randomization) −OutputVar1 Var2 1 1    1 2 2    1 3 3    1 4 4    1 5 5    1 6 6    1 7 1    2 8 2    2 9 3    2 10 4    2 11 5    2 12 6    2 13 1    3 14 2    3 15 3    3 16 4    3 17 5    3 18 6    3 19 1    4 20 2    4 21 3    4 22 4    4 23 5    4 24 6    4 25 1    5 26 2    5 27 3    5 28 4    5 29 5    5 30 6    5 31 1    6 32 2    6 33 3    6 34 4    6 35 5    6 36 6    6

To find the proportion of categories based on another categorical column in R's data.table object, we can follow the below steps −First of all, create a data.table object.Finding the proportion based on categorical column.Create a data.table objectLoading data.table package and creating a data.table object with two categorical columns −library(data.table) Category1

To divide the row values by row sum in R’s data.table object, we can follow the below steps −First of all, create a data.table object.Then, use apply function to divide the data.table object row values by row sum.Create the data.table objectLet’s create a data.table object as shown below −library(data.table) x

To create density plot for categories filled with different colors, we can follow the below steps −Frist of all, create a data frame.Load ggplot2 package and creating the density plot for the categories.Create the density plot for the categories in the data frame by using fill function.Create the data frameLet's create a data frame as shown below − Live Demox

To create density plot for categories, we can follow the below steps −Frist of all, create a data frame.Load ggplot2 package and creating the density plot for the whole data.Create the density plot for the categories in the data frame by using col function.Create the data frameLet's create a data frame as shown below − Live Demox

If na.rm is set to TRUE using dplyr package then the output for statistical operations returns NaN. To avoid this, we need to exclude na.rm. Follow below steps to understand the difference between the tw −First of all, create a data frame.Summarise the data frame with na.rm set to TRUE if NA exists in the data frame.Summarise the data frame without setting na.rm to TRUE.Create the data frameLet's create a data frame as shown below − Live DemoGroup&li;-rep(c("First", "Second", "Third"), times=c(3, 10, 7)) Response&li;-rep(c(NA, 3, 4, 5, 7, 8), times=c(3, 2, 5, 2, 4, 4)) df&li;-data.frame(Group, Response) dfOn executing, the above ... Read More