Displaying 7 results from an estimated 7 matches for "coeffeci".
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coeffexp
2003 Jul 14
2
Multipanel weighted regression lines.
...Does
someone know where there are some beginners examples on how to create
and use panel.xxx functions in conjunction with the xyplot functions?
Back to the matter at hand - There are two different ways that I could
add these lines, I think.
The first, and simplest would be to first find the coeffecients of the
weighted regression line for each panel ( I can do this). Then I would
add these coeffecients into a vector/matrix (i'm not sure what form of
vector would be suitable) and add them to each panel (I do not know how
to do this).
The second way would be to fiddle around with the fu...
2009 Sep 20
4
correlation help
...10.3 27.8 35
nm(j)
I want to be able to calculate correlation between all pairs of names.
For example (nm1,nm2), (nm1,nm3), (nm1,nmj), (nm2,nm3), (nm2,nmj)....
Then I want to calculate the significance of correlation using t-score
or p-value.
I can calculate correlation coeffecient in excel but not significance
in both excel and R.
I want to be able to do it in R, I appreciate your help.
thank you.
Ad.
2009 Jun 23
1
plotting ROC from coefficient in the model
...R, but it involves
packages from R I am asking here since I am unable to find an answer. In the
parametric modeling packages like glmnet, lasso etc......., we are able to
obtain the coeffcients that have entered the model.
for eg in glmnet if we are working on a dataset containing 15 variables
the coeffecient parameters output is like this, from the below result we
know that 5 variables or features have entered the model and are chosen and
the rest 10 variables have not entered, can we plot an ROC curve detremine
sensitivity, specificity and confusion matrix using just this below
information. any inp...
2008 Aug 19
1
Polynomial regression help
I have a simple X, Y data frame that I am trying to run regression analysis
on. The linear regression looks great, but when I use lm(formula = y ~
poly(x, degree = 5)) I get the same coeffecients. So for example if I use
degree =3 my formula would look like y = 4.2 x^3 + 3.2x^2 + 2.1x + 1.0 and
my degree 5 would look like y = 6.5x^5+ 5.4x^4 + 4.2 x^3 + 3.2x^2 + 2.1x +
1.0, which doesn't make sense to me.
I was wondering if someone knew what I was doing wrong or if this is
correct?...
2017 Dec 20
1
Nonlinear regression
...9.77)
>qe <- c(17.65, 30.07, 65.36, 81.7, 90.2)
>
>##The linearized data
>celin <- 1/ce
>qelin <- 1/qe
>
>plot(ce, qe, xlim = xlim, ylim = ylim)
>
>##The linear model
>fit1 <- lm(qelin ~ celin)
>intercept1 <- fit1$coefficients[1]
>slope1 <- fit1$coeffecients[2]
>summary(fit1)
>
>Qmax <- 1/intercept1
>Kl <- .735011*Qmax
>
>xlim <- range(ce, celin)
>ylim <- range(qe, qelin)
>
>abline(lm(qelin ~ celin))
>
>c <- seq(min(ce), max(ce))
>q <- (Qmax*Kl*c)/(1+(Kl*c))
>
>lines(c, q)
>
>
>##...
2006 Jul 19
1
fracdiff
Hi, I'm using the function fracdiff and can not figure out how to get the estimated values for sigma2 or confidence intervals for the parameter estimates. Does anyone know how to obtain these values?
Thanks,
Melissa
2017 Dec 20
0
Nonlinear regression
...gt; >
> >##The linearized data
> >celin <- 1/ce
> >qelin <- 1/qe
> >
> >plot(ce, qe, xlim = xlim, ylim = ylim)
> >
> >##The linear model
> >fit1 <- lm(qelin ~ celin)
> >intercept1 <- fit1$coefficients[1]
> >slope1 <- fit1$coeffecients[2]
> >summary(fit1)
> >
> >Qmax <- 1/intercept1
> >Kl <- .735011*Qmax
> >
> >xlim <- range(ce, celin)
> >ylim <- range(qe, qelin)
> >
> >abline(lm(qelin ~ celin))
> >
> >c <- seq(min(ce), max(ce))
> >q <-...