similar to: mean fold change issues and p values

Hello, I'm wondering if someone may be able to help me, and do apologize if there is a simple and obvious solution for this. I am somewhat new to R, and have been searching for a simple solution for a couple of days. I am interested in finding a tool that allows me to plot a stacked bar plot. My data set is in the following format:

On Sat, Oct 15, 2022 at 12:21:41PM -0700, syzbot wrote: > Hello, > > syzbot found the following issue on: > > HEAD commit: a1b6b102df03 Merge branch 'phylink_set_mac_pm' > git tree: net > console output: https://syzkaller.appspot.com/x/log.txt?x=179af0c2880000 > kernel config: https://syzkaller.appspot.com/x/.config?x=85495c44a2c25446 > dashboard

Dear R-users, I'm trying to model some data using a tweedie GLM approach. My response variable is the number of pupae that are the offspring of a subordinate wasp on a wasp's nest. However, they're not count data- for each nest, I only know the mean number of pupae per subordinate, which is continous. The data also contain a high proportion of zeros. I'm not very experienced at

Hi All I am getting the above mentioned error when I run the code below. I don't know why because I have implemented the function and I'm calling the function with a parameter. I'm obviously missing the plot ... Can someone perhaps point out the error of my ways? Error: > out<-ode(y=init, times=times, func=G1999, parms=parms, method="lsoda") Error in m_Na(v) : attempt

Hi there, I want to generate a large amount of functions, say f=function(x,t) exp(-t[1]-t[2]*g_1(x)-t[3]*g_2(1+x)) where g_1(x) and g_2(x) are from a long list of moments, such as x, x^2, log(x), log(1+x) .. and so on. Any suggestions on how to do this efficiently? thanks a lot. x.w

Hi all, I want to do plot() in a loop to make 10 graphs, so I have some code like for (i in 1:10) { plot(... ... , xlab = expression(g[i]) ) } I expect g_1, g_2, and so on appear on x labels, but it simply prints g_i for each graph. Does anybody know how to get around this problem? Thanks. NL

Hi everyone, I am trying to compare proportions among groups using the logistic regression approach as follows: 1) Fit the model log(p_i/(1-p_i)) = M + G_i, where p_i is the probability of success in group i and G_i is the effect of group i, i=1,..,I. 2) Test the hypotheses: Ho: G_1 = G_2 = ... = G_I (the probability of success is the same for all groups) versus Ha: at least two

To whom it may concern, I am a student at Macaleste College, and next semester Macalester is going to offer a course for CellBio that is mainly statistically based. For the most part the students will be using R for analysis. The problem is there will be some simple differential equations for the students to solve. The committee that in charge of the classes corriculam would like only to

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking