To combine multiple columns into one in R data frame without using column names, we can follow the below steps −First of all, create a data frame.Then, convert the data frame into a single column data frame.Again, convert the data frame into a single column without column names displayed in rows using row.names function.Create the data frameLet's create a data frame as shown below −Example Live Demox

To create the combination of rows in two data frames having same columns in R, we can follow the below steps −First of all, create two data frames.Then, combine the rows in the data frames with expand.grid and cbind with do.call.Create the data framesLet's create a data frame as shown below − Live DemoClass

To remove interaction from regression model in stargazer in R, we can follow the below steps −First of all, create a data frame.Then, create a regression model using stargazer.After that, create the regression model with stargazer without interaction terms.Create the data frameLet's create a data frame as shown below − Live Demox1

To create a bar plot in R filled with color palette in RColorBrewer package, we can follow the below steps −First of all, create a vector.Create the bar plot with color palette in RColorBrewer package.Example 1Let’s create a vector as shown below − Live Demox

The different color palettes can be found by using display.brewer.all() function. Each of the palette has different colors. There are three types of palettes defined with names equential, diverging, and qualitative. They are defined for specific uses as written below −Sequential palettes are suited to ordered data that progress from low to high.Diverging palettes put equal emphasis on mid-range critical values and extremes at both ends of the data range.Qualitative palettes are best suited to representing nominal or categorical data.Find the color palettes in RColorBrewer packageInstalling and Loading RColorBrewer package and finding the different color palettes −install.packages("RColorBrewer") library(RColorBrewer) display.brewer.all()On executing, ... Read More

To manually set the color of each bar in base R bar plot, we can follow the below steps −First of all, create a vector.Then create the bar plot with col argument.Example 1Create the vectorLet’s create a vector as shown below − Live Demox

To create a graph in base R with multiple shades of a particular color, we can follow the below steps −First of all, create color shades using colorRampPalette then plot a graph.Use the color shades to create the graph.Example 1Create the color shadesUsing colorRampPalette function to create the color shades between red and darkred color then creating the plot − Live DemoColor

To display axes ticks and labels inside the plot using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create a plot using ggplot2.After that create the same plot with theme function to change the position of axes ticks and labels.Create the data frameLet's create a data frame as shown below − Live Demox

To divide the row values by row variance 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 variance.Create the data.table objectLet’s create a data.table object as shown below −library(data.table) x

To divide matrix row values by row variance in R, we can follow the below steps −First of all, create a matrix.Then, use apply function to divide the matrix row values by row variance.Create the matrixLet's create a matrix as shown below − Live DemoM