> On 26 Sep 2019, at 18:55 , Phillip Heinrich wrote:
>
> Just when I think I’m starting to get the hang of R I run into something that
> sends me back to Go without collecting $200.
>
> The working directory seems to be correct when I load an .rda file but it is
> not there and it is not
Dear R community,
I just stumbled upon the following behavior in R version 3.6.0:
set.seed(42)
y <- rep(0, 30)
x <- rbinom(30, 1, prob = 0.91)
# The following will not show any t-statistic or p-value
summary(lm(y~x))
# The following will show t-statistic and p-value
summary(lm(1+y~x))
My
Hello,
Maybe FAQ 7.31?
Check the residuals, they are all "zero" in both cases:
fit0 <- lm(y~x)
fit1 <- lm(1+y~x)
# residuals
table(resid(fit0))
#
# 0
#30
table(resid(fit1))
#
#-5.21223595241838e-16 -4.93038065763132e-31 3.12734157145103e-15
#623
> Martin Maechler
> on Mon, 23 Sep 2019 16:14:36 +0200 writes:
> Richard O'Keefe
> on Sat, 21 Sep 2019 09:39:18 +1200 writes:
>> Ah, *now* we're getting somewhere. There is something
>> that *can* be done that's genuinely helpful.
>>> From the R(1) manual
Hi: In your example, you made the response zero in every case which
is going to cause problems. In glm's, I think they call it the donsker
effect. I'm not sure what it's called
in OLS. probably a lack of identifiability. Note that you probably
shouldn't be using zeros
and 1's as the response in a
correction to my previous answer. I looked around and I don't think it's
called the donsker effect. It seems to
jbe referred to as just a case of "perfect separability.". if you google
for" perfect separation in glms", you'll get a
lot of information.
On Fri, Sep 27, 2019 at 2:35 PM Mark
Dear members,
When I load raster 3.0-7 package installed or from source or from binary
in r 3.6.1 (macosX 10.14.6), I get a segmentation fault crash:
(see below)
As someone the same problem and a solution ? Thanks
(I have posted this question in R-Sig_GEO list without answer still)
>
I'm getting an error when using R for the first time. It's a web service
written in C#, .NET 4.5, IIS 10.0 running on Windows Server 2019. The file
called "stats.dll" (which was a result of installing R 3.1.1) is within the
scope of the path variables for all users.
Could anyone tell me if this
Apologies, Duncan and Martin. I didn't check "R --help" first. You're
quite right, lots of embedded hyphens.
Best Regards, Bill.
W. Michels, Ph.D.
On Fri, Sep 27, 2019 at 2:42 PM Duncan Murdoch wrote:
>
> On 27/09/2019 5:36 p.m., William Michels via R-help wrote:
> > Hi Martin,
> >
> >
Hi Martin,
'--no-echo'
or
'--no_echo'
Obviously you may prefer the first, but I hope you might consider the second.
Best Regards,
W. Michels, Ph.D.
On Fri, Sep 27, 2019 at 9:04 AM Martin Maechler
wrote:
>
> > Martin Maechler
> > on Mon, 23 Sep 2019 16:14:36 +0200
On 27/09/2019 5:36 p.m., William Michels via R-help wrote:
Hi Martin,
'--no-echo'
or
'--no_echo'
Obviously you may prefer the first, but I hope you might consider the second.
Are you serious? That's a terrible suggestion. Run "R --help" and
you'll see *no* options with
On Sat, Sep 28, 2019 at 2:04 AM Martin Maechler
wrote:
>
> For back compatibility reasons, the old command line option will
> continue to work so the many shell and other scripts that use
> it, will not stop working.
>
That's a relief. I was getting worried that we would become:
The knights who
I’m having difficulty understanding why you installed R v 3.1.1. That’s five
major versions ago.
—
David
Sent from my iPhone
> On Sep 26, 2019, at 2:51 AM, Carlos Weiss wrote:
>
> I'm getting an error when using R for the first time. It's a web service
> written in C#, .NET 4.5, IIS 10.0
Sent from my iPhone
> On Sep 27, 2019, at 12:55 AM, Phillip Heinrich wrote:
>
> Just when I think I’m starting to get the hang of R I run into something that
> sends me back to Go without collecting $200.
>
> The working directory seems to be correct when I load an .rda file but it is
>
Hello,
1. Try path.expand().
flname <- path.expand("~/Baseball/RetroSheetDocumentation/ari18.test2.rda")
2. To load in the global environment
load(flname, envir = .GlobalEnv)
3. But read the docs. From ?load:
load() replaces all existing objects with the same names in the
current
On Fri, 27 Sep 2019, David Winsemius wrote:
Instead of trying to mix lattice and base functions, you might try using
the formula:
maxtemp+mintemp ~ sampdate
And then: col= c(“red”, “blue”)
David,
I certainly will. I've not needed R for projects for many months and when I
looked through
On Fri, 27 Sep 2019, Rolf Turner wrote:
You may better off using base R graphics, unless there are considerations
which demand the use of lattice. Something like this, maybe:
plot(maxtemp ~ sampdate, data=watertemp, type="h", col="red",
)
points(maxtemp ~ sampdate,
On 28/09/19 9:16 AM, Jim Lemon wrote:
On Sat, Sep 28, 2019 at 2:04 AM Martin Maechler
wrote:
For back compatibility reasons, the old command line option will
continue to work so the many shell and other scripts that use
it, will not stop working.
That's a relief. I was getting worried
Hi,
I created a bar plot with this code:
library(ggplot2)
df <- data.frame("prop" = c(7.75,70.42), "Name" = c("All Genes","RG Genes"))
p<-ggplot(data=df, aes(x=Name, y=prop,fill=Name)) +
geom_bar(stat="identity")+ labs(x="", y = "Proportion of cis
EQTLs")+ scale_fill_brewer(palette="Greens") +
You will need to add stat_compare_means. Take a look at here.
http://www.sthda.com/english/articles/24-ggpubr-publication-ready-plots/76-add-p-values-and-significance-levels-to-ggplots/
library(ggpubr)
p + stat_compare_means()
Should be fine.
Vivek
On Fri, Sep 27, 2019 at 7:29 PM Ana Marija
Ah, this is a single observation and not pvalue calculation over a
distribution. You don’t seem to have a spread. Here your code seemed like
it was over all genes(more than 1) vs RG genes(also more than one). But it
is basically an observation of difference of 2 values. So it doesn’t need
to
Well that means already a ratio. Could you show me how the data frame looks
like? If they are array of values then you compare the distribution of your
ratios like Ratio1 array from “ (#of EQTLs)/(#of genes)” vs Ratio 2 arrays
of the “same for the other, RG condition”.
ratio1 = c(ratio1Value1,
Awesome, thanks!
Yes those two numbers on y axis I calculated as (#of EQTLs)/(#of genes) and
the same for the other, RG condition. So implicitly I do have a spread just
that data was not used to plot this, only those ratios. Is in this case
still p value not necessary?
On Fri, 27 Sep 2019 at
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