search for: significance

Hi Steven- Nice, but will this not break Windows? From an initial glance over your patch, it seems to assume the existence of mmap() in some form or other. Alistair On 8 Aug 2010, at 03:05, Steven Noonan wrote: > Hi folks, > > I've been doing work on memory reduction in Unladen Swallow, and > during testing, LiveRanges seemed to be consuming one of the largest > chunks of

Hi folks, I've been doing work on memory reduction in Unladen Swallow, and during testing, LiveRanges seemed to be consuming one of the largest chunks of memory. I wrote a replacement allocator for use by BumpPtrAllocator which uses mmap()/munmap() in place of malloc()/free(). It has worked flawlessly in testing, and reduces memory usage quite nicely in Unladen Swallow. The code is available

Hi, I have been unable to find how to go about changing the significance level in R for hypothesis testing and regression analysis. R has a default setting to alpha=95% (a significance level of 95%), but I want to be able to decrease or increase this level when necessary. If you could give me instructions on how to change the significance level in R for hypothesis testi...

This has a stats question and a R question. I am sure there are many core statisticians here how would know the answer to this simple question. In determining the significant comparisons using the methods in multcomp, the ones that are designated as significant are the ones that do not intersect the zero line. What is the physical meaning of this and why are those considered significant? I can

...ps using "stars on top". These stars are found freqeuntly in medical papers and printed above boxplots when there is a significant difference (usually using a bar to indicate which groups are meant if there are more then two in a plot). I was able to calculate whatever test, check the significance and depending on it to put a star (written with text-function) between two groups in a boxplot. But I was not able to make the text between two groups apear above the actual plotting region nor to draw a simple line, indicating which plots are meant. Also this solution seems to more of a hack then...

Hi, I have a question to ask. if in a linear regression model, the independent variables are not statistically significant, is it necessary to test these variables in a non-linear model? Since most of non-linear form of a variable can be represented to a linear combination using Taylor's theorem, so I wonder whether the non-linear form is also not statistically significant in such a

...coefficients mean 'the slope of the curve at temperature zero', so a non-significant value does not mean that the linear term is not needed. Removing the non-significant linear term for the 'after' group, for example, would be unjustified." AFAIK, t-test for significance of a coefficient is not based on the assumption that the variables of the linear model are "independent". What if I only got the model matrix X and I don't know, that one column is simply the square of another: Do I have to examine the model matrix for polynomial dependencies bet...

Hi, let's say I have a simple ANOVA model with 2 factors A (level A1 and A2) and B (level B1 and B2) and their interaction: aov(y~A*B, data=dat) It turns out that the interaction term is not significant (e.g. P value = 0.2), but if I used glht() to compare A1 vs. A2 within each level of B, I found that the comparison is not significant when B=B1, but is very significant (P<0.01) when

...understand that main effect for A generally means averaging over levels of B, is this explanation for the situation when interaction is included or is not included or is irrelavant? And if my interest is in the main effect of A, in the above senario, should I include the interaction (thus lose the significance) or not include the interaction (thus keep my significance)? Thanks!

...Family: quasi Link function: log Formula: target ~ s(mgs) + s(gsd) + s(mud) + s(ssCmax) Parametric coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -34.57 20.47 -1.689 0.0913 . --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 Approximate significance of smooth terms: edf Ref.df F p-value s(mgs) 2.335 2.623 0.260 0.829 s(gsd) 6.868 7.506 13.955 < 2e-16 *** s(mud) 8.990 9.000 11.727 < 2e-16 *** s(ssCmax) 6.770 6.978 6.664 7.68e-08 *** --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1...

Hi, How to represent a rounded number ending with 0 with 2-significant digits? If I have for ex, 0.8031 and I use signif or round with digits = 2, I'll get 0.8. If I use format, I get character type (even if I pass number as parameter) and if I convert with as.numeric, I'll lose one significant digit (0): > format(13.7, nsmall = 2) [1] "13.70" > as.numeric( format(13.7,

Hi everyone, I can't figure out how to format numbers to have a certain number of significant figures (as opposed to decimal places) without using scientific notation and including trailing zeros if necessary. e.g. I would like to achieve the following: 0.800001 ---> 0.8000 123.4567 ---> 123.4 0.1234567 ---> 0.1234 7.654321 ---> 7.654 7654321 --->

Hi.. I'm using gam() to fit a spline model for a data set that has two predictor variables (say A and B). The results indicate that the higher order interaction terms are significant. The R^2 jumps from .5 to .9 when I change the maximum order for the interaction from 10 to 15 (i.e. (AB)^10 to (AB)^15). Is there any way of finding out which of the terms in the model are really

Hi all I am not a C programmer, but I am trying to understand formatC to get consistent printing of reals to a given number of significant digits. Can someone please explain this to me? These first three give what I expect on reading ?formatC: > formatC(0.0059999, digits=2,format="fg",flag="#") [1] "0.0060" > formatC(0.59999,

...mment from one of the replies to which I was halfway through a response when I saw this appear. (I'm not an expert in this so I'm very prepared to accept critique.) On Jun 6, 2012, at 12:54 PM, arun wrote: > Hi Ron, > > When the interaction is significant, I will not look at the significance of main effects as the main effect significance are irrelevant.? Then the comparisons could be made between the simple effect means. ----------- A) The general rule not to interpret main effects estimates in models with interaction terms is certainly valid, but what was asked was whether the report...

Hello, I am using the gpls package for modelling vegetation classes. My problem is that I now want to know which input variables are significant for the modelling of the classes to recalculate the equation again with just the selected variables. I think I can analyse the significance of the variables via their weights. I used the "gpls1a" term for two group classification. Here my code: ---------------------------------------------------------------------- library(gpls) # > spex_Y<-read.csv("F:/GPLS/spex_Y.csv", header=TRUE, sep=";")#, r...

Is there a function in R that could find the significant digit of a specific number? Such as for 3.1415, return '5'? Thanks in advance. [[alternative HTML version deleted]]

Hello R-help I don’t know how to interpret significance from the contr.poly() function . From the example below : how can I tell if data has a significant Linear/quadratic/cubic trend? > contr.poly(4, c(1,2,4,8))               .L         .Q          .C [1,] -0.51287764  0.5296271 -0.45436947 [2,] -0.32637668 -0.1059254  0.79514657 [3,]  0.04662524 -...

...effect on the first and the time factor. i then checked the boxplots for the two 4-level factors for each timepoint separately: there is a difference or barely 1 to 2 units; actually, the plots look pretty much alike. also, there is no notable interaction effect. i am really wondering how this high significance of the time factor can come up then because i can not see any huge difference between the timepoint for all of the remaining factors. i know this might be a very basic statistical question but assistance in every way will be appreciated. best jake [[alternative HTML version deleted]]

I have a set of results where I have the eyesight power of both left and right eyes for each participant (e.g. 0.75, 0.5). Each participant then had to throw basketballs into a hoop and the number of successful throws was recorded. I would like to do two things: 1. Test whether the eyesight power of the left and right eyes are significantly different from each other. 2. Test whether the number