Displaying 20 results from an estimated 87 matches for "rsquareds".
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rsquared
2013 May 16
2
R looping help
Hey I'm not really sure what I should put on here, but I am having trouble
with my R code. I am trying to get the p-values, R^2s etc for a number of
different groups of variables that are all in one dataset.
This is the code:
#Stand counter
st<-1
#Collections
stands<-numeric(67)
slopes<-numeric(67)
intercepts<-numeric(67)
mses<-numeric(67)
rsquares<-numeric(67)
2007 Sep 13
5
statistics - hypothesis testing question
...models, A and B where the LHS
is the same in both cases but the predictor is different (
I handle the intercept issue based on other postings I have seen ). I
estimate the two models on a weekly basis over 24 weeks.
So, I end up with 24 RSquaredAs and 24 RsquaredBs, so essentally 2 time
series of Rsquareds. This doesn't have to be necessarily thought of as a
time series problem but, is there a usual way, given the Rsquared data,
to test
H0 : Rsquared B = Rsquared A versus H1 : Rsquared B > Rsquared A
so that I can map the 24 R squared numbers into 1 statistic. Maybe
that's somehow equi...
2005 Feb 08
3
logistic regression
Hi,
I'm using glm function to do logistic regression and now I want to know if it
exists a kind of R-squared with this function in order to check the model.
Thank you.
2003 Jul 21
1
how to calculate Rsquare
Hi,
I have something like this:
> x <- 1:10
> y2 <- 30+5*x+rnorm(x,sd=3)
> y <- c(y1,y2)
> x <- c(x,x)
> plot(x,y)
> x <- 1:10
> y1 <- 1+5*x+rnorm(x,sd=2)
> y2 <- 30+5*x+rnorm(x,sd=5)
> y <- c(y1,y2)
> x <- c(x,x)
> f <- factor(rep(c("a","b"),c(10,10)))
> m <- lm(y~x+f)
> anova(m)
Analysis of Variance
2011 Jul 13
1
max possible rsquare
Dear all,
I have a question regarding the output of the coxph function. What does the
'max possible' exactly mean in the output below? Many thanks.
coef exp(coef) se(coef) robust se z Pr(>|z|)
smocc_zyban -0.4384 0.6451 0.8667 0.9473 -0.463 0.644
self 1.1857 3.2728 0.1405 0.1443 8.216 2.22e-16 ***
smocc_zyban:self
2011 Apr 15
3
Rsquared for anova
I calculate an anova test in the following way:
expdata<-read.table("/home/dorien/UA/meta-music/optimuse/optimuse1-build-desktop/results/results_processedCP",
header=TRUE)
2004 Nov 20
1
annotation problems (conditional text())
Hello,
I'm trying to annotate my plots nicely and am running into trouble.
This example contains two problems:
a) the 'text()' arguments do not show the conditional behavior I'm
trying to give them. I try to test for the intercept of my regression
and reformat the output accordingly ('+ intercept' in the >= 0 case and
'- sqrt(intercept^2)' in the other case),
2012 Jan 17
2
result numeric(0) when using variable1[which(variable2="max(variable2)"]
Dear all,
I have a question about the knowing for which row I have the max value of
one of my variables.
I calculated the Rsquared for different columns and made a list to gather
them. I unlisted this list to create a vector with this values. I want to
know for which column I have the max value of Rsquared.
The columns were always named in the same way. They always start with
results4$depth_
2005 Jun 22
0
Rsquare from glmmPQL or another GLMM?
Hi,
I know that Rsquare in glm or in non-linear models is "wrong", but some people
like this.
How I make to estimate the Rsquare from a model ajusted with glmmPQL or
another GLMM?
Thanks for all
Ronaldo
--
A simplicidade ?? o ??ltimo degrau da sabedoria.
-- Victor Hugo
--
|> // | \\ [***********************************]
| ( ?? ?? ) [Ronaldo Reis J??nior
2003 Aug 27
1
how to calculate Rsquare
I think you've badly misinterpreted the purpose
of the R listserv with this request:
https://www.stat.math.ethz.ch/mailman/listinfo/r-help says
"The `main' R mailing list, for announcements about the
development of R and the availability of new code, questions
and answers about problems and solutions using R, enhancements
and patches to the source code and documentation of R,
2011 Jul 12
0
Adding a correlation value (like Rsquared) to a 4 parameter logistic fit model.
Hello,
In my lab we use a four parameter logistic fit model for our ELISA data
(absorbance values). We are currently testing the use of different solvents
and need to find a way to add a correlation value (such as an R squared or
something similar) so we can test different solvents in making this standard
curve. We currently use the drc package and this is our script for the 4
parameter:
2012 Feb 16
1
how to get r-squared for a predefined curve or function with "other" data points
hello mailing list!
i still consider myself an R beginner, so please bear with me if my
questions seems strange.
i'm in the field of biology, and have done consecutive hydraulic
conductivity measurements in three parallels ("Sample"), resulting in three
sets of conductivity values ("PLC" for percent loss of conductivity,
relative to 100%) at multiple pressures
2002 May 09
4
Rsquared in summary(lm)
Hello,
I'm doing some linear regression:
>lm<-lm(osas~alp,data)
>summary(lm)
However, the Rsquared in the output of summary() is not the same as the
"standard" Rsquared calculated by spreadsheets, and outlined in
statistical guidebooks, being SSR/SSTO. The output says "multiple
Rsquared", but it is no multiple regression...
What's the difference?
Thanks,
2007 Dec 08
1
lm: how to calculate rsquared of the predicted values?
Hi,
I've built a linear model using multiple linear regression which leads me a
R-squared value of 73.58%.
After that, I used this model to predicted some values based on the test
data.
Now I'm wondering how:
1. can I measure de R-squared value between the predicted(by the model) and
real (observed) values.?
2. Measure the RMSE error .
Example: suppose my data its below:
REAL
2013 Jun 18
2
offset en bucle
Amigos de la erre.
He creado mi primer bucle con for para entrenar unos modelos con GAM. La
respuesta es quasipoisson porque estoy trabajando con densidades de peces.
Sin embargo, tengo un problema, no se muy bien como añadir el offset a la
formula siguiente cuando creo el bucle.
GAM.A1 <-gam ((DYO)~s(DMA,k=4)+ s(WOD,k=4)+s(CIN,k=4)+s(DRA,k=4)+s(DBR,k=4)
2001 Apr 19
0
All subsets weighted regression in R ?
To everyone,
I am currently doing analysis through Splus but am
having severe problems. I am trying to fit all subset
weighted regression to a multivariate data set and get
PRESS statistics, along with Rsquare, Rsquare adjusted
and Mallows Cp for all possible models. Splus, will
give me these statistics but the leaps procedure is
highly sensitive to nearly singular data matrices
(which mine is)
2012 Aug 06
1
cannot find function "simpleRDA2"
Hi,
I am trying to run the command "forward.sel.par," however I receive
the error message: "Error: could not find function 'simpleRDA2'." I
have the vegan library loaded. The documentation on "varpart" has not
helped me to understand why I cannot call this function. Maybe I am
missing something obvious because I am still an 'R' novice.
Below is a
2007 Aug 28
1
FW: How to fit an linear model withou intercept
...It's actually in a time series framework also but that's not relevant
> for my question. My question has 2 parts :
>
> 1) I was leaning towards using the R squared as the decision criteria (
> I will be Regressing monthly and over a couple of years so I will have
> about 24 rsquareds. I have tons of data For one monthly regression so I
> don't have to just do one big regression over the whole time period )
> but I noticed in your previous example that the model with intercept (
> compared to the model forced to have zero intercept ) had a lower R^2
> and a lower...
2007 Dec 11
1
postResample R² and lm() R²
Hello,
I'm with a conceptual doubt regarding Rsquared of both lm() and
postResample(library caret).
I've got a multiple regression linear model (lets say mlr) with anR² value
of 67.52%.
Then I use this model pro make predictions with predict() function using the
same data as input , that is, use the generated model to predict the value
associated with data that I used as input.
Next, if
2013 Mar 02
2
caret pls model statistics
Greetings,
I have been exploring the use of the caret package to conduct some plsda
modeling. Previously, I have come across methods that result in a R2 and
Q2 for the model. Using the 'iris' data set, I wanted to see if I could
accomplish this with the caret package. I use the following code:
library(caret)
data(iris)
#needed to convert to numeric in order to do regression
#I