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Hello, Gurus: I tried to test if the sample mean of a dataset is zero. The data has 1500 numbers with a lot of zeros and some small positive numbers. The data range on [0,1] but the distribution is unknown. It is zero inflated anyway. I tried to use the Wilcoxon Signed Ranks test. But I read from this website that it does assume the population pdf is symmetric.

Hi, Anybody used treenet here? I downloaded a demo but don't know how to start with. Does R has something like treenet? Thanks, [[alternative HTML version deleted]]

Hi, Sorry I have to bother you a question. I have a file with each line like this: 6.5500000000000000e+004 2.8235000000000001e+000 3.2000000000000000e+001 1.1580000000000000e+003 2.4400000000000000e+002 5.9800000000000000e+002 2.2700000000000000e+002 3.9030000000000001e+001 -1.2137000000000000e+002 However, I use read.table, it cannot read it correctly. It read in 18 variables instead of

Dear list: Thanks a lot for help. I have a question and I could not find clear answers easily. When we do logistic regression for one type of events of interest as a proportion of a broader types of events, does the logistic regression assume that the number of whole types of events should be independent with the number of type of interest? For example, if one type of events and the whole type

Hello! I am trying to use lm to do a simple regression but on a batch of different files. Each file has different column names. I know the first column is the dependent variable and all the rest are explanatory variables. The column names are in the first line of the file. But it seems lm() requires I know the variable names in advance? Is there a way to dynamically read in variable names

I have a dataset of 10000 records which I want to use to compare two prediction models. I split the records into test dataset (size = ntest) and training dataset (size = ntrain). Then I run the two models. Now I want to shuffle the data and rerun the models. I want many shuffles. I know that the following command sample ((1:10000), ntrain) can pick ntrain numbers from 1 to 10000. Then I just

In the logistic regression model, there is no residual log (pi/(1-pi)) = beta_0 + beta_1*X_1 + ..... But glm model will return residuals What is that? How to understand this? Can we put some residual in the logistic regression model by replacing pi with pi' (the estimated pi)? log (pi'/(1-pi')) = beta_0 + beta_1*X_1 + .....+ ei Thanks! [[alternative HTML version deleted]]

Hi, All: I only have 4 samples. I wish to get a confidence interval around the mean. Is it reasonable? If not, is there a way to compute a confidence interval for such small sample size's mean? Many thanks, U [[alternative HTML version deleted]]