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To increase the space between facets in a facetted plot created by using ggplot2 in R, we can use theme function with panel.spacing argument.For Example, if we have a data frame called df that contains three columns say X, Y and F where F is a factor column then we can create facetted scatterplots having facets spaced at a larger distance between X and Y for values in F by using the command given below −ggplot(df, aes(X, Y))+geom_point()+facet_wrap(~F)+theme(panel.spacing=unit(1, "lines"))ExampleFollowing snippet creates a sample data frame −IVRead More
To multiply row values in a data.table object having multiple rows with single row data.table object in R, we can follow the below steps −First of all, create a data.table object with multiple rows and a data.table object with single row.Then, use mapply function to multiply row values in those objects.ExampleCreate the first data.table objectLet’s create a data.table object as shown below −library(data.table) x1
To change the color legend element border using ggplot2, we can use theme function where can put color in legend.key argument to desired color with element_rect.For Example, if we have a data frame called df that contains three columns say X and Y and F where X and Y are numerical and F is categorical then we can create scatterplot between X and Y with blue color of legend element border by using the command given below −ggplot(df, aes(IV, DV))+geom_point(aes(colour=factor(Class)))+theme(legend.key=element_rect(colour="red"))ExampleFollowing snippet creates a sample data frame −IVRead More
To change the sign of even number rows in a data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, use vector multiplication with 1 and minus 1 to change the sign of even number rows.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) x
To find the row variance of columns having same name in R matrix, we can follow the below steps −First of all, create a matrix with some columns having same name.Then, use tapply along with colnames and var function to find the row variance of columns having same name.ExampleCreate the matrixLet’s create a matrix as shown below −M
To remove grey color from legend display using ggplot2, we can use theme function where we can fill legend.key argument to white with element_rect.For Example, if we have a data frame called df that contains three columns say X and Y and F where X and Y are numerical and F is categorical then we can create scatterplot between X and Y without grey color in legend display by using the command given below −ggplot(df, aes(X, Y))+geom_point(aes(colour=factor(F)))+theme(legend.key=element_rect(fill="white"))ExampleFollowing snippet creates a sample data frame −xRead More
To find the square root of each value in columns if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the square root of each value in columns if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Level
To cover legend in a box using ggplot2 in R, we can use theme function with legend.box.background and legend.box.margin argument. The legend.box.background will have a rectangular element with the help of element_rect and margin values will be set in legend.box.margin.Check out the Example given below to understand how it can be done.ExampleFollowing snippet creates a sample data frame −Score
To find the column minimum if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the column minimum if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Group
To display legend on top using ggplot2 in R, we can use theme function with legend.justification argument to top.For Example, if we have a data frame called df that contains three columns say X and Y and F where X and Y are numerical and F is categorical then we can create scatterplot between X and Y with point colored by values in F by using the command given below −ggplot(df,aes(X,Y))+geom_point(aes(colour=factor(F)))+theme(legend.justification="top")ExampleFollowing snippet creates a sample data frame −x