lm is used to fit linear models. It can be used to carry out regression, single stratum analysis of variance and analysis of covariance (although aov may provide a more convenient interface for these).
In this article, you'll learn to use plot function in R. It is used to make graphs according to the type of the object passed. The most used plotting function in R programming is the plot() function. For example, the command plot(c(1,2),c(3,5)) would plot the points (1,3) and (2,5) .
The different line types available in R are shown in the figure hereafter. The argument lty can be used to specify the line type. To change line width, the argument lwd can be used.
How to Create a Residual Plot in R
- Step 1: Fit regression model.
- Step 2: Produce residual vs. fitted plot.
- Step 3: Produce a Q-Q plot.
- Step 4: Produce a density plot.
Which Function in R – which() Which function in R, returns the indices of the logical object when it is TRUE. In other words, which() function in R returns the position or index of value when it satisfies the specified condition. which() function gives you the position of elements of a logical vector that are TRUE.
A regression line will be added on the plot using the function abline(), which takes the output of lm() as an argument. You can also add a smoothing line using the function loess().
Calculating an average and standard deviation in R is straightforward. The mean() function calculates the average and the sd() function calculates the standard deviation.
Unike mean and median, mode can have both numeric and character data. R does not have a standard in-built function to calculate mode. So we create a user function to calculate mode of a data set in R. This function takes the vector as input and gives the mode value as output.
This post explains
how to add a
legend to a chart made with base
R, using the
legend() function.
Add a legend to a base R chart
- legend : names to display.
- bty : type of box around the legend.
- horiz : legend in column or in row.
- col : symbol color.
- pch : symbol type.
- pt.
- cex : text size.
To add vertical line, we add geom_vline() function with mean salary value as xintercept. In addition, we also specify the thickness of the line with size argument and color of the line with color argument.
The argument pch, an abbreviation for plot character, is the standard argument to set the character that will be plotted in a number of R functions. Values of 0 to 20 specify a symbol the color which is by default black. The color of these symbols can be changed by supplying colors to the argument col.
To add a text to a plot in R, the text() and mtext() R functions can be used.
There are no specific R functions to remove outliers . You will first have to find out what observations are outliers and then remove them , i.e. finding the first and third quartile (the hinges) and the interquartile range to define numerically the inner fences.
In R, boxplot (and whisker plot) is created using the boxplot() function. The boxplot() function takes in any number of numeric vectors, drawing a boxplot for each vector. You can also pass in a list (or data frame) with numeric vectors as its components.
plot() to draw a line between two points. Call matplotlib. pyplot. plot(x, y) with x as a list of x-values and y as a list of their corresponding y-values of two points to plot a line segment between them.
