Category: R

A trimmed mean is a mean trimmed by x%, where x is the percentage of observations removed from both the upper and lower bounds. For instance, 10% trimmed mean is the mean computed by excluding th 10% largest and 10%...

mean() can be used to calculate mean in R. The following is the basic statement. mean(x, trim = 0, na.rm = FALSE) x: It is an R object.  trim: It is in the range of (0 to 0.5). The number indicates the percentage...

This tutorial shows how to plot the figure for the interaction in 2-way ANOVA in R. Steps of Plotting 2-Way ANOVA Interaction in R Step 1: Prepare the data The following is the data being used for the examples. It...

stringsAsFactors decides the strings will be considered as factors or just strings or characters. The following uses two examples to explains the difference. Example 1: stringsAsFactors= FALSE The following sets stringsAsFactors= FALSE. We can see that the data type of...

This tutorial is about how to calculate means by group in R. There are two methods of calculating means by groups in R, either aggregate() or dplyr. Method 1: Use base R aggregate(df$col_being_aggregated, list(df$col_1_groupby,df$col_2_groupby,...), FUN=mean) Method 2: Use package of...

This tutorial explains what Type I, Type II, and Type III ANOVA are. Further, it provides examples showing how you can do Type I, Type II, and Type III ANOVA in R. 1. Introduction Type I, Type II, and Type...

This tutorial shows how you can do two-way ANOVA in R with examples. A two-way ANOVA is used to test whether the means from the two or more categorieal variables are significantly different from one another. For instance, below, there are two categorical...

Vectors are a basic data object in R. There are six types of vectors, namely logical, integer, double, complex, character and raw. You can use a c() function to create vectors, and the following shows the examples. 1. Logical Vector...