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## Copyright (C) 2016 Clayton Vieira Fraga Filho
##
## This program is free software; you can redistribute it and/or
## modify it under the terms of the GNU General Public License
## as published by the Free Software Foundation; either version 2
## of the License, or (at your option) any later version.
##
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program; if not, write to the Free Software
## Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#' @title R29a
#' @description To avoid any problems and confusion on the part of the data analyst, it seems a safe recommendation to use R21a consistently for any type of model with the appropeiate a value, rather than adjusting any of the other.
#' @param observados vector of values observed.
#' @param estimados vector of values estimated.
#' @param k is the number of model parameters
#' @details R29a <- 1-a*(1 - R29)
#' @export
R29a <- function(observados, estimados, k) {
#without intercept and nonlinear
y <- observados
yest <- estimados
a <- calculaA(length(y), k)
R29 = 1 - median((abs(y-yest))^2)/median((abs(y-mean(y)))^2)
R29a <- 1-a*(1 - R29)
return(R29a)
}
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