do_reg: do_reg
In NRM-MOC/MoCiS: Monitoring of Contaminants in Sweden
do_reg R Documentation
do_reg
Description
Fits a linear model using the log-transformed contaminant values as the
outcome and year as the indpendent variable.
Usage
do_reg(data, y, alpha, rob, b.pow, n.pow, power)
Arguments
data
A data frame.
y
The outcome variable.
alpha
Significance lavel for the power calculations.
rob
Set to true to perform a robust linear model fit. Very experimental!
Details
Options include a robust linear model fit using lmrob from the
robustbase package although all power calculations are based on
the ordinary least squares fit. The fit is returned and all methods
available for an lm or roblm fit can be used.
Value
A list containing the slope esimate and confidence interval
expressed as percentage per year, the coefficient of variation around
the regression line, three estimates of power, the coefficient of
determination, a p-value for the null hypothesis that the slope is 0,
the estimated concentration of the contaminant and its confidence
interval for the last year in the series, the fitted line, the years
present in the data and the linear model object.
Author(s)
Erik Lampa
NRM-MOC/MoCiS documentation built on March 27, 2023, 7:35 p.m.
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| do_reg | R Documentation |
do_reg
Description
Fits a linear model using the log-transformed contaminant values as the outcome and year as the indpendent variable.
Usage
do_reg(data, y, alpha, rob, b.pow, n.pow, power)
Arguments
data |
A data frame. |
y |
The outcome variable. |
alpha |
Significance lavel for the power calculations. |
rob |
Set to true to perform a robust linear model fit. Very experimental! |
Details
Options include a robust linear model fit using lmrob from the
robustbase package although all power calculations are based on
the ordinary least squares fit. The fit is returned and all methods
available for an lm or roblm fit can be used.
Value
A list containing the slope esimate and confidence interval expressed as percentage per year, the coefficient of variation around the regression line, three estimates of power, the coefficient of determination, a p-value for the null hypothesis that the slope is 0, the estimated concentration of the contaminant and its confidence interval for the last year in the series, the fitted line, the years present in the data and the linear model object.
Author(s)
Erik Lampa
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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