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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 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
To divide data frame row values by row variance 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 variance.Create the data frameLet's create a data frame as shown below − Live Demox
To divide data frame row values by row maximum excluding 0 in R, we can follow the below steps −First of all, create a data frame.Then, use apply function and if else function to divide the data frame row values by row maximum excluding 0.Create the data frameLet's create a data frame as shown below − Live Demox
To print string vectors vertically in R, we can follow the below steps −First of all, create a vector.Then, use cat function to print the vector vertically.Example 1 Let's create a vector as shown below − Live DemoAlphabets
To divide matrix row values by row maximum excluding 0 in R, we can follow the below steps −First of all, create a matrix.Then, use apply function and if else function to divide the matrix row values by row maximum excluding 0.Create the matrixLet's create a matrix as shown below − Live DemoM
To divide the data frame row values by row maximum 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 maximum.Create the data frameLet's create a data frame as shown below − Live Demox