search for: r_squar

Hi All, Can you tell me why I get the error message below? It's driving me nuts. Thanks, Tom > r_squared [[1]] [1] 0.9083936 [[2]] [1] 0.8871647 [[3]] [1] 0.8193883 [[4]] [1] 0.728157 [[5]] [1] 0.8849525 [[6]] [1] 0.8459416 [[7]] [1] 0.6702318 [[8]] [1] 0.02997816 [[9]] [1] 0.8974268 [[10]] [1] 0.881217 [[11]] [1] 0.8006688 [[12]] [1] 0.7207697 [[13]] [1] 0.8703734 [[14]] [1] 0.8384346...

...lly apply bits and pieces from the examples I have found. Any help is appreciated. BTW, I calculate mae (mean absolute error), mse (mean squared error), me (mean error), and other measures obtained by using the R verification package. The example below is limited to 20 records and shows lead_time, r_squared, (forecast) cycle, fcst_date (forecast date) -- the full data set is just over 2 years of daily data with 3 forecast cycles (00Z, 12Z, and 18Z) daily. >From my query, below) how do I construct an appropriate data structure to analyze & plot the data as monthly averages? Regards, Tom &gt...

Buenas tardes, Estamos intentando hacer esta función, y sabemos que el bucle funciona (lo hemos testeado). Pero nos da este error ya en la primera línea: "Error in if (phen_tot$convergence[i][j] == '2' || phen_tot$r_square[i][j] <= : valor ausente donde TRUE/FALSE es necesario" Hemos evitado usar Tidyverse expresamente por la complejidad de la toma de decisiones del árbol; por eso queremos mantener los bucles "for". ¿Alguien nos puede echar una mano para ver qué falla? for(i in l_plates) {...

Hola Carlos, Gracias por la respuesta. phen_tot es un data frame visualizado como tibble, y contiene (entre otras) las columnas "convergence", "r_square" y "maxlog10mfi". Y queremos crear nuevas columnas, como "use", "convergence_cor", etc. phen_tot$convergence debería ser un factor de si el modelo converge o no (levels: 1 y 2), pero tibble lo tiene como "double". Pensamos que de ahí podía venir el err...

As a long time nonlinear modeller, I always compute a quantity commonly referred to as R_squared or the coefficient of determination. However, I agree with other commentators, including those of several years ago, that one wants to be very careful about interpretation. In fact, I would say "DO NOT interpret". My usage of the quantity, which I tend to call "R_squared" but...

...compiler¥llvm¥tools¥clang¥include¥clang/Parse/Ownership.h(411) : see dec laration of 'clang::ASTOwningResult<Destroyer>::operator =' with [ Destroyer=::up▲ ] The problems comes with the following code: } else if (Tok.isNot(tok::r_square)) { // Note, in C89, this production uses the constant-expr production instead // of assignment-expr. The only difference is that assignment-expr allows // things like '=' and '*='. Sema rejects these in C89 mode because they // are not i-c-e's, so we don&...

Good evening! I don't know R, but I have to do this work for my diploma. So I'm sorry for the strange message below. Help me anybody decides this issues, please. a part of the code is: for (i in 1:133) { r_squared <- vector() sample_bank <- mydata[((i-1)*311+1):(i*311),] #return for bank return_bank <- diff(sample_bank[,4])/sample_bank[,4][-length(sample_bank[,4])] I've got these errors: model <- lm(sample_est[,6] ~ sample_est[,7], na.action=na.omit) Error in lm.fit(x, y, offset = offset,...

Hi, everybody, 3 questions about R-square: ---------(1)----------- Does R2 always increase as variables are added? ---------(2)----------- Does R2 always greater than 1? ---------(3)----------- How is R2 in summary(lm(y~x-1))$r.squared calculated? It is different from (r.square=sum((y.hat-mean (y))^2)/sum((y-mean(y))^2)) I will illustrate these problems by the following codes: