runningMeans: A running mean function.
In tbrown122387/mmcmc: Miscellaneous Markov Chain Monte Carlo Functions.
Description
Usage
Arguments
Examples
Description
This function calculates a running mean for columns of a data frame.
Usage
1
runningMeans(df, cols, burn = 0)
Arguments
df
A data frame of samples. Rows correspond with iterations, and columns with parameters.
cols
column indices for the columns you want to look at.
burn
Number of rows you want to discard as burn in. Defaults to 0.
Examples
1
2
fake_samples <- data.frame(rnorm(100))
plot(runningMeans(fake_samples, 1), type ="l")
tbrown122387/mmcmc documentation built on Dec. 31, 2019, 12:34 p.m.
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Description Usage Arguments Examples
Description
This function calculates a running mean for columns of a data frame.
Usage
1 | runningMeans(df, cols, burn = 0)
|
Arguments
df |
A data frame of samples. Rows correspond with iterations, and columns with parameters. |
cols |
column indices for the columns you want to look at. |
burn |
Number of rows you want to discard as burn in. Defaults to 0. |
Examples
1 2 | fake_samples <- data.frame(rnorm(100))
plot(runningMeans(fake_samples, 1), type ="l")
|
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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