View source: R/calculate_models.R
calculate_lm  R Documentation 
calculate_lm
describes the linear model of the last listed variable
in means
and covs
as a function of all other variables in
means
and covs
.
calculate_lm(
means,
covs,
n,
add_intercept = FALSE,
keep_pcss = FALSE,
terms = NULL
)
means 
a vector of means of all model predictors and the response with the last element the response mean. 
covs 
a matrix of the covariance of all model predictors and the
response with the order of rows/columns corresponding to the order of

n 
sample size 
add_intercept 
logical. If 
keep_pcss 
logical. If 
terms 
terms 
an object of class "pcsslm"
.
An object of class "pcsslm"
is a list containing at least the
following components:
call 
the matched call 
terms 
the 
coefficients 
a 
sigma 
the square root of the estimated variance of the random error. 
df 
degrees of freedom, a 3vector 
fstatistic 
a 3vector with the value of the Fstatistic with its numerator and denominator degrees of freedom. 
r.squared 

adj.r.squared 
the above 
cov.unscaled 
a 
Sum Sq 
a 3vector with the model's Sum of Squares Regression (SSR), Sum of Squares Error (SSE), and Sum of Squares Total (SST). 
wolf_using_2021pcsstools
\insertRefwolf_computationally_2020pcsstools
\insertRefgasdaska_leveraging_2019pcsstools
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