| harmonic_mean | R Documentation |
The harmonic mean is the reciprocal of the arithmetic mean of the reciprocals of the input values. Common uses include computing the mean of ratios, for instance the average P/E ratio in a portfolio. Also it is the correct mean for averaging speeds weighted for distance.
The harmonic mean is calculated using the following formula:
H = \frac{n}{\sum_{i=1}^{n} \frac{1}{x_i}}
harmonic_mean(x, weights = NULL, na.rm = c(TRUE, FALSE))
x |
A vector of values to take the harmonic mean for |
weights |
Optional vector of weights, one per value in x. |
na.rm |
Remove NAs (default = TRUE). With weights, cases with NA in x or weights are dropped together so the two stay aligned. If FALSE, NA input returns NA. |
Harmonic mean of x
https://en.wikipedia.org/wiki/Harmonic_mean
geometric_mean(), aggregate()
Other Miscellaneous Stats Functions:
FishersMethod(),
SE_from_p(),
geometric_mean(),
oddsratio(),
reliability(),
umx,
umxCov2cor(),
umxHetCor(),
umxParan(),
umxWeightedAIC(),
umx_apply(),
umx_cor(),
umx_means(),
umx_r_test(),
umx_round(),
umx_scale(),
umx_var()
# Harmonic means are suitable for ratios
tmp = c(33/1, 23/1)
harmonic_mean(tmp)
geometric_mean(tmp)
mean(tmp)
# Example with weights
harmonic_mean(c(33/1, 23/1), weights= c(.2, .8))
# If Jack travels outbound at 1 mph, and returns at 10 miles an hour, what is his average speed?
harmonic_mean(c(1,10)) # 1.81 mph
# Missing data are dropped by default (na.rm = TRUE)
harmonic_mean(c(33, 23, NA)) # 27.1
harmonic_mean(c(33, 23, NA), na.rm = FALSE) # NA
# With weights, incomplete cases are dropped together, keeping x and weights aligned
harmonic_mean(c(33, NA, 23), weights = c(.2, .3, .5)) # 25.18
harmonic_mean(c(33, 23), weights = c(.2, NA)) # 33
## Not run:
# weights must match x in length; non-positive input is an error
harmonic_mean(c(33, 23), weights = c(.2, .3, .5))
harmonic_mean(c(33, -23))
## End(Not run)
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