View source: R/model_linear_combo.R
calculate_lm_combo  R Documentation 
calculate_lm_combo
describes the linear model for a linear combination
of responses as a function of a set of predictors.
calculate_lm_combo(means, covs, n, phi, m = length(phi), add_intercept, ...)
means 
a vector of means of all model predictors and the response with
the last 
covs 
a matrix of the covariance of all model predictors and the
responses with the order of rows/columns corresponding to the order of

n 
sample size. 
phi 
vector of linear combination weights with one entry per response variable. 
m 
number of responses to combine. Defaults to 
add_intercept 
logical. If 
... 
additional arguments 
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_computationally_2020pcsstools
\insertRefgasdaska_leveraging_2019pcsstools
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