stat_qq(): quantile - quantile plot. One variable: Discrete. Two variables: Continuous X, Continuous If you want to change the plot in order to have the density on y axis, the R code would be as follow. To add a regression line on a scatter plot, the function geom_smooth() is used in combination with the...
# Increase the size barplot(c(2,5), main="Main title", xlab="X axis title", ylab="Y axis title", sub="Sub-title", cex.main=2, cex.lab=1.7, cex.sub=1.2) Use the title() function title() can be also used to add titles to a graph.
You can easily add the main title and axis labels with arguments to the plot() function in R to enhance the quality of your graphic. iplot() method with arguments kind (plot type), x (x-axis variable), y (y-axis variable), and mode argument removes the line connections setup by default with plotly.
To add a title and axis labels to your plot of faithful, try the following: > plot (faithful, + main = "Eruptions of Old Faithful", + xlab = "Eruption time (min)", + ylab = "Waiting time to next eruption (min)") R allows you to also take control of other elements of a plot, such as axes, legends, and text: Axes: If you need to take full control of plot axes, use axis ().
Here, we’ll describe how to create quantile-quantile plots in R. QQ plot (or quantile-quantile plot) draws the correlation between a given sample and the normal distribution. A 45-degree reference line is also plotted. QQ plots are used to visually check the normality of the data.
A QQ plot will help you answer that question. Checking Linear Regression Assumptions in R: Learn how to check the linearity assumption, constant variance (homoscedasticity) and the assumption of normality for a regression model in R. To learn more about Linear Regression Concept and with R...
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