A data.table object is very similar to a data frame in R, therefore, converting a data.table object to a matrix is not a difficult job. We just need to use as.matrix function and store the data.table object into a new object that will belong to the matrix, otherwise R will ... Read More

If we have missing values/NA in our data frame and create a plot using ggplot2 without excluding those missing values then we get the warning “Removed X rows containing missing values”, here X will be the number of rows for the column that contain NA values. But the plot will ... Read More

The categorical variables can be easily visualized with the help of mosaic plot. In a mosaic plot, we can have one or more categorical variables and the plot is created based on the frequency of each category in the variables. To create a mosaic plot in base R, we can ... Read More

To create a line chart in base R using plot function, we need to use type = "l" so that R understand the plot needs to have a line instead of points. If we want to increase the width of the line then lwd argument can be used. The value ... Read More

The plot area in plot window is fixed by default and we can create a lint chart with extended width so that the chart covers the area of the plot from bottom left to upper right. This can be done by using very large width of the line chart with ... Read More

The barplot function create the bars of equal width but if we have equal or unequal width values for each bar then we can use width within the barplot function. Thus, the newly generated barplot will have different width of the bars. For example, if we the width are defined ... Read More

When we create boxplots for multiple categories in R using boxplot function, by default the X-axis labels are represented by numbers. But we might want to express the categories by their name. In this situation, we can use names argument along with the boxplot function.Consider the below vectors that represent ... Read More

Although, the histogram represents the distribution of a complete set of values but we might want to visualize that histogram based on the division of some threshold value. For example, we might want to visualize the histogram with different bars that have values greater than 1 or less than 1. ... Read More

The residual variance is the variance of the values that are calculated by finding the distance between regression line and the actual points, this distance is actually called the residual. Suppose we have a linear regression model named as Model then finding the residual variance can be done as (summary(Model)$sigma)**2.Examplex1Read More

In general, the scatterplot is used to visualize the relationship between two columns of an R data frame but if we want to display the two columns separately not as a pair then we need to use matplot function. This function will create a plot for all the values in ... Read More