R - mean, median and mode
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The document explains how to perform mean, median, and mode statistical analysis in R using built-in functions and user-defined functions. The mean() and median() functions are provided for calculating mean and median values, while mode does not have a standard function and requires a custom implementation. Parameters for handling input vectors and missing values are also discussed.
R - mean, median and mode
- 1. Swipe R - Mean, Median and Mode
- 2. Statistical analysis in R is performed by using many in-built functions. Most of these functions are part of the R base package. These functions take R vector as an input along with the arguments and give the result. R - Mean, Median and Mode
- 3. Mean It is calculated by taking the sum of the values and dividing with the number of values in a data series. The function mean() is used to calculate this in R. Syntax The basic syntax for calculating mean in R is:- mean(x, trim = 0, na.rm = FALSE, ...) Following is the description of the parameters used x is the input vector. trim is used to drop some observations from both end of the sorted vector. na.rm is used to remove the missing values from the input vector.
- 4. Median The middle most value in a data series is called the median. The median() function is used in R to calculate this value. Syntax The basic syntax for calculating median in R is median(x, na.rm = FALSE) Following is the description of the parameters used x is the input vector. na.rm is used to remove the missing values from the input vector.
- 5. The mode is the value that has highest number of occurrences in a set of data. 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. Mode
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