Hi guys,
I am trying to familiar myself with bootstrapping using rms package and
stuck on how to plot the bootstrap distribution. Would appreciate if
somebody could help.
Thanks in advance.
From
http://stats.stackexchange.com/questions/64788/interpreting-a-logistic-regression-model-with-multiple
Dear list,
I am trying to do a space-time imputation for time series satellite
imageries. Any recommendation for a good package to use. I am new to R.
Thank you.
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Guys,
I select 70% of my data and keep 30% of it for model validation.
mydata <- read.csv(file.choose(), header=TRUE)
select <- sample(nrow(mydata), nrow(mydata) * .7)
data70 <- mydata[select,] # select
data30 <- mydata[-select,] # testing
temp.glm <- glm(Death~Temperature, data=data70,
family=
32.9 1534778
>
> Please provide results of sessionInfo().
>
> Regards,
> Pascal
>
>
>
> On 05/16/2013 07:02 PM, Eddie Smith wrote:
>
>> Hi guys,
>>
>> Anybody willing to help?
>>
>> SST1982003 <- readGDAL("daily_sst_1982003_*
Hi guys,
Anybody willing to help?
> SST1982003 <- readGDAL("daily_sst_1982003_nighttime.img")
Error in SST1982003 <- readGDAL("daily_sst_1982003_nighttime.img") :
invalid (do_set) left-hand side to assignment
The data can be downloaded from googledrive
https://docs.google.com/file/d/0BzzExM8Z
Thanks a lot! I got some ideas from all the replies and here is the final one.
newdata
select <- sample(nrow(newdata), nrow(newdata) * .7)
data70 <- newdata[select,] # select
write.csv(data70, "data70.csv", row.names=FALSE)
data30 <- newdata[-select,] # testing
write.csv(data30, "data30.csv",
Hi guys,
I have 1000 rows of a dataset. In my analysis, I need 70% of the data,
run my analysis and then use the remaining 30% to test my model.
Could anybody kindly help me on this?
Cheers
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Hi guys,
How could I specify minimum and maximum x-axis values in logi.hist.plot?
My code is something like this:
plot(mydata$Temperature,mydata$Mortality,
,xlab="Temperature",ylab="Probability of mortality")
curve(predict(temp.glm,data.frame(Temperature=x),type="resp"),add=TRUE,
col="red")
point
Hello everyone,
I tried to understand the relationship between temperature and the
death of an organism by using logistic regression.
glm(formula = Death ~ Temperature, family = binomial(link = "logit"),
data = mydata)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
Hi guys,
I am applying linear regression model using lm, generate the residual
and then need to output the result to a csv file. Here is my script:
maxtempstation1.lm = lm( Year ~ station1, data=opencsv)
maxstation1.res = resid(maxstation1.lm); maxstation1.res
write.csv(maxtempstation1.res, file="
uot;
>
> http://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
>
> to hand while you learn R. It is very good about how the basics
> work. The next step up would be the more systematic exposition
> of how R works in "An Introduction to R":
>
> http://cran
Hi guys,
This is a very beginner question. Anybody willing to help?
for(i in 1:1000)
x=29.5 + i/500
y=2x
plot(y,x)
The idea is to produce 1000 values of x and y then plot them.
Cheers,
Eddie
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> CC: r-help@r-project.org
> Subject: Re: [R] newbie: fourier series for time series data
>
>
> On 5/31/2011 5:12 AM, eddie smith wrote:
> > Hi Guys,
> >
> > I had a monthly time series's data of land temperature from 1980 to 2008.
> > After plo
Hi Guys,
I had a monthly time series's data of land temperature from 1980 to 2008.
After plotting a scatter diagram, it seems that annually, there is a semi
sinusoidal cycle. How do I run Fourier's series to the data so that I can
fit model on it?
I am really sorry for my question sound stupid, b
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