Displaying 20 results from an estimated 20000 matches similar to: "prediction R-squared"
2010 Oct 05
2
R squared for lm prediction
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
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2011 Feb 10
1
Newb Prediction Question using stepAIC and predict(), is R wrong?
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
2006 Nov 21
1
R-squared with and without constant
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
2013 Feb 16
2
Interpret R-squared and cor in R
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
2003 Nov 03
2
Odd r-squared
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
2011 Mar 04
1
linear model - lm (Adjusted R-squared)?
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:
2012 Sep 13
1
Inaccurate prediction in R
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
2005 Apr 20
6
Anova - adjusted or sequential sums of squares?
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
2009 Sep 24
2
P-value and R-squared variable selection criteria
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
2015 Jun 15
3
mpv rpm
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
2010 Jan 29
3
extract R-squared and P-value from lm results
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]]
2015 Jun 15
0
mpv rpm
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
>
2015 Jun 15
0
mpv rpm
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:
2009 Jan 21
0
cv.glm: delta squared --> squared q
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
2016 Apr 16
3
[Bug 94964] New: Tearing with opengl-hq and not with opengl on Gnome with MPV
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:
2005 Sep 25
1
Question on lm(): When does R-squared come out as NA?
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
2012 Jul 13
4
R-squared with Intercept set to 0 (zero) for linear regression in R is incorrect
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
2015 Jun 15
0
mpv rpm
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
2017 Aug 14
2
nouveau driver locks up with 4.11 kernel
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
2019 Aug 14
1
Video Hardware Decoding: Jittery Rectangles on Nvidia GT218 NVA8 VP4.
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