## Written by Mercedeh Movassagh <mercedeh@ds.dfci.harvard.edu>, Aug 2020
#' @importFrom graphics mtext
#' @importFrom stats pf
NULL
#' plotTerms
#'
#' Plot terms description
#' @param model linear model
#' @return does not return value
#' @export
#' @keywords plot, residuals, model
#' @examples
#' plotTerms(lm(x ~ y, data = data.frame(x = runif(10), y = runif(10))))
plotTerms <- function(model) {
m <- model$model
plot(m, main = as.character.formula(model$terms))
k <- length(model$coefficients) - 1 # Number of mirnas in model!
n <- length(model$fitted.values)
rs <- summary(model)$r.squared
Pvalue <- pf((rs / k) / ((1 - rs) / (n - 1 - k)), k, n - 1 - k, lower.tail = FALSE) # p value for R-squared
mtext(sprintf("P value of model fit: %.2g", Pvalue), line = .74)
mtext(sprintf("R-squared of model fit: %.2f", summary(model)$r.squared), line = .01)
return(invisible(NULL))
}
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