RSE: Relative (Percent) Standard Error
In ballengerj/FishyR: Functions to Facilitate Standard Analyses Conducted in Fisheries Science
View source: R/variance_functions.R
RSE R Documentation
Relative (Percent) Standard Error
Description
RSE is a function that allows the calculation of the
relative standard error (RSE) for a vector of numbers. RSE is also known as Percent Standard Error (PSE).
Usage
RSE(x)
Arguments
x
numeric vector.
Value
RSE estimate for x.
See Also
Other Error Estimates:
CV(),
SE()
Examples
# Examples
set.seed(1234)
RSE(rnorm(100))
# Observed Data (Red Porgy data set)
data(RedPorgy)
RSE(x = RedPorgy$R1.Age)
ballengerj/FishyR documentation built on June 17, 2022, 10:33 p.m.
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View source: R/variance_functions.R
| RSE | R Documentation |
Relative (Percent) Standard Error
Description
RSE is a function that allows the calculation of the
relative standard error (RSE) for a vector of numbers. RSE is also known as Percent Standard Error (PSE).
Usage
RSE(x)
Arguments
x |
numeric vector. |
Value
RSE estimate for x.
See Also
Other Error Estimates:
CV(),
SE()
Examples
# Examples set.seed(1234) RSE(rnorm(100)) # Observed Data (Red Porgy data set) data(RedPorgy) RSE(x = RedPorgy$R1.Age)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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