LaggedCorrelation: Calculate pearson correlation coefficient between two data...
In smu/smumisc: Miscellaneous R functions mainly related to climate model data analysis and statistics.
Description
Usage
Arguments
Value
View source: R/LaggedCorrelation.R
Description
Calculate pearson correlation coefficient between two data sets for different lags.
Usage
1
LaggedCorrelation(x, y, lags, independent.obs = length(x), parallel = T)
Arguments
x
vector containing the independent variable
y
vector containing the depended variable
lags
vector of lag
independent.obs
number of independent observations. Defaults to length(x), when x or y is smoothed, the number of independent observations may be lower.
parallel
calculate in parallel, using the foreach package (default True)
Value
data frame containing the lag applied, the correlation coefficient (r), the p-value (p) and the number of independent observations used to calculate the p-value.
smu/smumisc documentation built on March 21, 2021, 3:38 a.m.
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.
Description Usage Arguments Value
View source: R/LaggedCorrelation.R
Description
Calculate pearson correlation coefficient between two data sets for different lags.
Usage
1 | LaggedCorrelation(x, y, lags, independent.obs = length(x), parallel = T)
|
Arguments
x |
vector containing the independent variable |
y |
vector containing the depended variable |
lags |
vector of lag |
independent.obs |
number of independent observations. Defaults to length(x), when x or y is smoothed, the number of independent observations may be lower. |
parallel |
calculate in parallel, using the foreach package (default True) |
Value
data frame containing the lag applied, the correlation coefficient (r), the p-value (p) and the number of independent observations used to calculate the p-value.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.