Using the tapply() function to calculate the means of ...
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Using the tapply() function to calculate the means of ...
The tapply() functions takes 3 main argument. i) The numeric variable that you want to get information from (ie, mean values by group). ii) The categorical ...
Using the tapply() function to calculate the means of two groups The data look like this. Each data point gets a separate row, and is either from a “C” or an “E” treatment. There is just one column of the numerical response variable.
Structure of the tapply() function
The tapply() functions takes 3 main argument. i) The numeric variable that you want to get information from (ie, mean values by group). ii) The categorical variable that defines the groups in the data. iii)The mathematical function to apply to the data (mean, sd, min, etc)
Dollar sign $ to designate a column w/in the dataframe
The dataframe i)The numeric variable to take the mean of ii)The categorical variable that defines the 2 groups New data object to hold The means
Commas! iii) The mathematical function to apply to the data na.rm = T so deal with any missing data (NAs) Output: 2mean values and the group they correspond to (C or E)
dataframe
$
Column in the dataframe
Numeric Variable Categorical variable
The “treatment” column in the “light” dataframe contains categorical data. The names of these categories (aka groups) DO NOT appear anywhere in the tapply() function. tapply() looks at them “behind the scenes” and figures out how to split up the data to get the mean of each group.
