I tried to install the av package on centos7 server with R 3.5.3 but am
receiving an error. I installed ffmpeg and ffmpeg-devel on centos 7 as below
and then followed the instructions of specifying LIB_DIR and INCLUDE_DIR for
installing av.
any help would be appreciated. Thanks
```
>
or even simpler
sqrt(abs(A))
On Mon, Dec 9, 2019 at 8:45 AM Eric Berger wrote:
>
> Hi Bob,
> You wrote "the following error message" -
> when in fact it is a Warning and not an error message. I think your
> code does what you hoped it would do, in the sense it successfully
> calculates the
Dear Bert,
It's perhaps a bit pedantic to point it out, but the dispersion is estimated
from the Pearson statistic (sum of squared residuals or weighted squared
residuals) not from the residual deviance. You can see this in the code for
summary.glm().
Best,
John
Thanks for getting back to me, I resolved my problem with this:
library(reshape2)
c=dcast(a, rs ~ GENE)
d=merge(c,b,by="rs")
d[is.na(d)] <- 0
On Sun, Dec 8, 2019 at 11:03 PM Jim Lemon wrote:
>
> Hi Ana,
> Is this what you want?
>
> a<-read.table(text="GENErs BETA
> 1
Le 09/12/2019 à 16:45, Bert Gunter a écrit :
> In addition, as John's included output shows, only 1 parameter, the
> intercept, is fit. As he also said, the sd is estimated from the
> residual deviance -- it is not a model parameter.
>
> Suggest you spend some time with a glm tutorial/text.
I
In addition, as John's included output shows, only 1 parameter, the
intercept, is fit. As he also said, the sd is estimated from the residual
deviance -- it is not a model parameter.
Suggest you spend some time with a glm tutorial/text.
Bert
On Mon, Dec 9, 2019 at 7:17 AM Marc Girondot via
summary(gnul)
shows the std error of the coefficient estimate
On Mon, Dec 9, 2019 at 5:16 PM Marc Girondot via R-help
wrote:
>
> Let do a simple glm:
>
> > y=rnorm(100)
> > gnul <- glm(y ~ 1)
> > gnul$coefficients
> (Intercept)
>0.1399966
>
> The logLik shows the fit of two parameters
Dear Marc,
For your simple model, the standard deviation of y is the square-root of the
estimated dispersion parameter:
> set.seed(123)
> y <- rnorm(100)
> gnul <- glm(y ~ 1)
> summary(gnul)
Call:
glm(formula = y ~ 1)
Deviance Residuals:
Min1QMedian3Q Max
You can get pretty close with label_number_si():
pounds <- scales::label_number_si(prefix = "£")
pounds(10 ^ (0:7))
#> [1] "£1""£10" "£100" "£1K" "£10K" "£100K" "£1M" "£10M"
Created on 2019-12-09 by the [reprex
package](https://reprex.tidyverse.org) (v0.3.0.9001)
Hadley
On Fri, Dec
Let do a simple glm:
> y=rnorm(100)
> gnul <- glm(y ~ 1)
> gnul$coefficients
(Intercept)
0.1399966
The logLik shows the fit of two parameters (DF=2) (intercept) and sd
> logLik(gnul)
'log Lik.' -138.7902 (df=2)
But where is the sd term in the glm object?
If I do the same with optim, I can
Hi Bob,
You wrote "the following error message" -
when in fact it is a Warning and not an error message. I think your
code does what you hoped it would do, in the sense it successfully
calculates the sqrt(abs(negativeNumber)), where appropriate.
If you want to run the code without seeing this
The sqrt(-A) is evaluated for all A. The result returned is conditional on the
first argument but the other two arguments are evaluated on the entire vector.
Kevin
--
Kevin E. Thorpe
Head of Biostatistics, Applied Health Research Centre (AHRC)
Li Ka Shing Knowledge Institute of St. Michael's
Please consider the following two R statements:
A = runif(20, min=-1,max=1)
ifelse( A < 0, sqrt(-A), A )
The second statement produces the following error message:
rt(-A) : NaNs produced
I understand that you cannot take the square root of a negative number
but I thought the
Pleased to announce that the next version (2.3.0) of our package “concurve”
is out on CRAN (https://cran.r-project.org/package=concurve).
In addition to plotting confidence (consonance) curves, it can now plot two
functions next to one another to see the amount of overlap. It can also
plot
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