search for: sachi

...timating Equations. I'm aware that I can use anova to compare two models, but would it be possible to test QIC on R? It seems that there were similar questions a couple of years ago, but the question has not been answered yet. I'd appreciate if someone could show me the code! Thank you, Sachi [[alternative HTML version deleted]]

...oef) *Error in eval(expr, envir, enclos) : object ".grp" not found * Does it mean that I cannot make a graph using the lmer function? Or, do I need to install another package? I'd greatly appreciate if someone could give me suggestions. Thank you so much for your help in advance, Sachi [[alternative HTML version deleted]]

...ept) 1.277 0.3538 Correlation: Structure = ar1 Link = identity Estimated Correlation Parameters: Estimate Std.err alpha 0.978 0.005725 Number of clusters: 49 Maximum cluster size: 533 Then, it shows that : Correlation: Link = identity Why is it not Link = logit? Thank you, Sachi [[alternative HTML version deleted]]

...ng: > CC='gcc -arch x86_64' > CXX='g++ -arch x86_64' > F77='gfortran -arch x86_64' > FC='gfortran -arch x86_64' > OBJC='gcc -arch x86_64' But it still gave me error. I'd greatly appreciate if someone can answer this question! Thank you, Sachi [[alternative HTML version deleted]]

...se one of the predictors, "O", also has high time dependency (high autocorrelation), the estimate of "O" (0.00348) seems to be too small. In this case, how shall I interpret the parameter? Should I be using another analysis, such as loglm? Thank you in advance for your help! Sachi [[alternative HTML version deleted]]

Dear R users, Using R lme function, I found that both fixed and random effects of variable A on variable B are significant. Now, I'd like to analyze what variables are predicting differences in the slope. In other words, I'd like to know what variables (e.g., variable C) are predicting individual differences in the effects of A on B. I have many data points for A and B for each

Dear R list members, I have a question regarding xyplot. I managed to make a xyplot of all the IDs by using the syntax below: xyplot(PA ~ CRPC + CRPT | ID, data = redinteract) Now, I'd like to make a graph of a specific ID number (e.g., only ID number 301). I thought I could use "subset", but it seems to be not working. Could anyone let me know how I can make a graph of a

...cantly different from each other (i.e., the odds of BB to be 2.01 times larger than AA is significant) and the differences between BB and CC are significant (i.e., the odds of BB to be 1.6 times bigger is significant) etc. I'd really appreciate if someone can answer this question! Thank you, Sachi [[alternative HTML version deleted]]

...vergence (7) I'd appreciate if someone could explain me what it means. One of the differences between "non-centered values" and "centered values" is that the "centered values" include negative values. Could it be the reason? If so, what shall I do? Thank you! Sachi

...es root98765/password: 4 times rootapache/password: 4 times rorin/password: 4 times runner/password: 4 times ryou/password: 4 times ryozo/password: 4 times ryu/password: 4 times ryuuichi/password: 4 times saburo/password: 4 times sachi/password: 4 times sada/password: 4 times saeko/password: 4 times sahuja/password: 4 times saki/password: 4 times saku/password: 4 times sakuko/password: 4 times sale/password: 4 times sam/password: 4 times sama/password: 4 times...

Hi, I have analyzed my data using log-linear model as seen below: > yes.no <- c("Yes","No") > tk <- c("On","Off") > ats <- c("S","V","M") > L <- gl(2,1,12,yes.no) > T <- gl(2,2,12,tk) > A <- gl(3,4,12,ats) > n <- c(1056,4774,22,283,326,2916,27,360,274,1770,15,226) >