# Coefficient Of Variation In R

Examples coefficient variation sd 0 15 avg 0 39 documentation reproduced from package fincal version 0 6 3 license. Since cv is unitless it is useful for comparison of variables with different units albatineh et al 2014.

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Coefficient of variation in r. Product moment coefficient of variation method moments the coefficient of variation sometimes denoted cv of a distribution is defined as the ratio of the standard deviation to the mean. Gpl 2 community examples. The coefficient of variation cv the last measure which we will introduce is the coefficient of variation.

Another name for the term is relative standard deviation. Cv sd data mean data 100 the following examples show how to use this syntax in practice. It is equal to the standard deviation divided by the mean.

Measures of dispersion such as range variance standard deviation and coefficient of variation can be calculated with standard functions in the native stats package. The cv also known as relative standard deviation rsd is a standardized measure of dispersion of a probability distribution or frequency distribution. In addition a function here called summary list can be defined to output whichever statistics are of interest.

Coefficient of variation coefficient of variation is a measure of relative dispersion representing the degree of variability relative to the mean albatineh kibria wilcox zogheib 2014. To calculate the coefficient of variation for a dataset in r you can use the following syntax. C v σ μ 1 the coefficient of variation measures how spread out the distribution is relative to the size of the mean.

How to calculate the coefficient of variation in r. Compute the coefficient of variation cv. Coefficient of variation for a single vector.

It is also a measure of homogeneity. Looks like there are no examples yet. It is defined as the ratio of the standard deviation to the mean and is often expressed as a percentage.

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