search for: unround

...t be atomic > plot(Data.ols) Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' is a list, but does not have components 'x' and 'y' > -------------- next part -------------- Subject Block Pos Word Onset Vheight Vround Vfront Vlength Frequency Retro AF 30 1 sak s low unround back long 12022 0 AF 30 2 sak s low unround back long 12022 0 AF 30 3 sak s low unround back long 12022 0 AF 30 4 sak s low unround back long 12022 0 AF 30 5 sak s low unround back long 12022 0 AF 30 6 sak s low unround back long 12022 0 AF 32 1 sak s low unround back long 12022 0 AF 32 2 sak s low...

...alues in my dissertation. Looking at my lm() results of many regressions with huge datasets I have the feeling that p-values are rounded to the smallest value of "2e-16", because this p-value is very common. Is that true or just chance? If it is true, how do I obtain the "true" unrounded p-values for these regressors? m1 <- lm(y ~ x1+x2+x3+4+x5, data=D) Thank you Torvon [[alternative HTML version deleted]]

Hi R users. I am new to the community and have got myself into a little problem. I have a dataset of birth weights recorded by nurses at a delivery clinic in an developing country. The weights are entered in KiloGrams with one decimal. However there is substantial heaping at each 500g when looking at the sample in a histogram. Do anyone of you know a easy way to adjust for this and if it exists

Dear UseRs, I'm running a chi-squared test where the expected matrix is the same as the observed, after rounding. R reports a X-squared of zero with a p value of one. I can justify this because any other result will deviate at least as much from the expected because what we observe is the expected, after rounding. But the formula for X-squared, sum (O-E)^2/E gives a positive value. What