similar to: prediction R-squared

Hi all, I have used a hold out sample to predict a model but now I want to compute an R squared value for the prediction. Any help is appreciated. Best regards -- View this message in context: http://r.789695.n4.nabble.com/R-squared-for-lm-prediction-tp2955328p2955328.html Sent from the R help mailing list archive at Nabble.com.

I'm using stepAIC to fit a model. Then I'm trying to use that model to predict future happenings. My first few variables are labeled as their column. (Is this a problem?) The dataframe that I use to build the model is the same as the data I'm using to predict with. Here is a portion of what is happening.. This is the value it is predicting = > [1] 9.482975 Summary of the

Greetings Listers! the R-squared value reported by summary of lm is calculated as 1 - RSS/RSS_m where RSS_m is the residual sum of squares of a minimal model. In most cases, the minimal model is simply y = mean(y), but when a constant is left out of the model, the minimal model is y = 0. However, if you manually add a constant, R still considers y = 0 the minimal model. This also causes

Hi I am trying to find the relationship between two variables. First I fitted a linear model between two variables and I found the following results: Residual standard error: 0.03253 on 2498 degrees of freedom Multiple R-squared: 0.5551, Adjusted R-squared: 0.5549 F-statistic: 3116 on 1 and 2498 DF, p-value: < 2.2e-16 Then I used the cor function to see the correlation between two variable

Hi, I would consider the calculation of r-squared in the following to be a bug, but then, I've been wrong before. It seems that R looks to see if the model contains an intercept term, and if it does not, computes r-squared in a way I don't understand. To my mind, the following are two alternative parametrizations of the same model, and should yield the same r-squared. Any insight much

Hi, Sorry for the naive question, but what exactly does the 'Adjusted R-squared' coefficient in the summary of linear model adjust for? Sample code: > x <- rnorm(15) > y <- rnorm(15) > lmr <- lm(y~x) > summary(lmr) Call: lm(formula = y ~ x) Residuals: Min 1Q Median 3Q Max -1.7828 -0.7379 -0.4485 0.7563 2.1570 Coefficients:

Hello, After development of recommendation engine with the R, before removal of outliers from data-set value of residual standard error was 1351 and after removal of outlier its 100. Still there is no accurate prediction which gives 10% correct(near) prediction. For more fitting i also have tried polynomial model with two ,three and four degree but still no improvement. Is there any most

Hi I am performing an analysis of variance with two factors, each with two levels. I have differing numbers of observations in each of the four combinations, but all four combinations *are* present (2 of the factor combinations have 3 observations, 1 has 4 and 1 has 5) I have used both anova(aov(...)) and anova(lm(...)) in R and it gave the same result - as expected. I then plugged this into

Hi R community I have a question. I'll explain my situation. I have to build a climate model to obtain monthly and annual temperature from 2004 to 2008 from a specif area in Almeria (Spain). To build this climate model, I will use Multiple regression. My dependant variable will be monthly and annual temperature and independant variables will be Latitute, Longitude and Altitude and I will work

Hi, R Users I find a problem in extracting the R-squared and P-value from the lm results described below (in Italic), *Residual standard error: 2.25 on 17 degrees of freedom* *Multiple R-squared: 0.001069, Adjusted R-squared: -0.05769 * *F-statistic: 0.01819 on 1 and 17 DF, p-value: 0.8943 * * * Any suggestions will be appreciated. Thanks. Wenjun [[alternative HTML version deleted]]

jd1008 wrote: > > > On 06/14/2015 10:12 PM, Peter wrote: >> On 06/15/2015 04:09 PM, jd1008 wrote: >>> I downloaded mpv-0.2.4-4.fc20.src.rpm from rpmfusion, and: >>> >>> /usr/bin/yum-builddep -t --nogpgcheck -y mpv-0.2.4-4.fc20.src.rpm >>> says: >>> Error: No Package found for libquvi-devel >> You can get that, as well as most deps

On 06/14/2015 10:12 PM, Peter wrote: > On 06/15/2015 04:09 PM, jd1008 wrote: >> I downloaded mpv-0.2.4-4.fc20.src.rpm from rpmfusion, and: >> >> /usr/bin/yum-builddep -t --nogpgcheck -y mpv-0.2.4-4.fc20.src.rpm >> says: >> Error: No Package found for libquvi-devel > You can get that, as well as most deps from nux-dextop: > http://li.nux.ro/repos.html >

On 06/15/2015 12:00 PM, m.roth at 5-cent.us wrote: > jd1008 wrote: >> >> On 06/14/2015 10:12 PM, Peter wrote: >>> On 06/15/2015 04:09 PM, jd1008 wrote: >>>> I downloaded mpv-0.2.4-4.fc20.src.rpm from rpmfusion, and: >>>> >>>> /usr/bin/yum-builddep -t --nogpgcheck -y mpv-0.2.4-4.fc20.src.rpm >>>> says: >>>> Error:

Dear list members, I am using a cross validation of a generalised linear model (glm). The cv.glm function (from boot package) returns an error as so-called ?delta? value. I would like to get to a (cross-validated) squared q, because I want to directly compare it to the squared correlation coefficient r. I tried to find an an equation for the raw and/or adjusted cross-validation estimate of

https://bugs.freedesktop.org/show_bug.cgi?id=94964 Bug ID: 94964 Summary: Tearing with opengl-hq and not with opengl on Gnome with MPV Product: Mesa Version: unspecified Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: normal Priority: medium Component:

I have a situation with a large dataset (3000+ observations), where I'm doing lags as regressors, where I get: Call: lm(formula = rj ~ rM + rM.1 + rM.2 + rM.3 + rM.4) Residuals: 1990-06-04 1994-11-14 1998-08-21 2002-03-13 2005-09-15 -5.64672 -0.59596 -0.04143 0.55412 8.18229 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.003297 0.017603

Hi, I have been using lm in R to do a linear regression and find the slope coefficients and value for R-squared. The R-squared value reported by R (R^2 = 0.9558) is very different than the R-squared value when I use the same equation in Exce (R^2 = 0.328). I manually computed R-squared and the Excel value is correct. I show my code for the determination of R^2 in R. When I do not set 0 as the

On 06/14/2015 09:56 PM, Peter wrote: > On 06/15/2015 03:54 PM, Peter wrote: >> On 06/15/2015 03:17 PM, jd1008 wrote: >>> Does anyone have a working rpm of mpv for rhel6 or centos6? >>> Would appreciate a download link. >> No, but it's in Fedora so rebuilding it for CentOS should be pretty easy. > I should clarify, it's in RPMFusion for Fedora as well as

Hi, I am having issues with nouveau driver in 4.11 Debian distribution kernel. I can start X session but the screen locks up e.g. when I try to exit mplayer fullscreen mode. The lock is swamped with tons of nouveau 0000:03:00.0: fifo: SCHED_ERROR 13 [] messages and I also can see some warnings ------------[ cut here ]------------ WARNING: CPU: 1 PID: 3535 at

Hi Ilia, A fortnight ago, you wrote: > > The video plays, CPU load is less (my aim), but there's ‘tearing’ of > > the picture as if small rectangles that are updates are appearing in > > the wrong location, off by a little. If I step through the frames > > with mpv's ‘.’ and ‘,’ then I've found a pattern: one frame's > > picture is good, followed by