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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

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 [[alternative HTML version deleted]]

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|) (Intercept) -87.9161 7.7987 -11.27 <2e-16 *** Temperature

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") points(mydata$Temperature,fitted(temp.glm),pch=20)

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, but I just don't know where to start. I am desperately looking for help from you guys.