search for: coeffients

...ation.The raw data is in the attachment. I fit the saturated model of loglinear with the command: glm_sat<-glm(fre~area*nation, family=poisson, data=data_Analysis) After that,I extract the coefficients: result_sat<-summary(glm_sat) result_coe<-result_sat$coefficients I find that all the coeffients are 1 or very near to 1. How does this happen?Why all the coeffients are 1 or very near to 1? Thanks! My best -------------- next part -------------- area nation fre 1 1 0 1 2 0 1 3 85 1 4 2 1 5 0 1 6 0 1 7 0 1 8 0 1 9 1 1 10 0 1 11 0 2 1 0 2 2 0 2 3 253 2 4 2 2 5 0 2 6 10 2 7 0 2 8 0 2 9 1 2 10...

Hi, I am wondering if there is a way to display the full anme of the regression coeffients/factors in the summary? Suppose I have a bogus data set using weekday as factor which has 7 levels such as: mydata <- sample(364) wk <- rep(1:7, 52) weekday <- factor(wk,1:7,c("Mon","Tue","Wed","Thu","Fri","Sat","Sun&quot...

Dear R-users, I'm finding for a R-package concerning graphs. Is there some kind of that package? I've a set of correlation coeffients between several variable and I wish to built a graph to link variables correlated. Many thanks. Best, Vito ===== Diventare costruttori di soluzioni "The business of the statistician is to catalyze the scientific learning process." George E. P. Box Visitate il portale http://www....

...aine The two quadratic regression models are y1=a1x^2+b1x+c1 y1= observed migration distance of butterflies() y2=a2x^2+b2x+c2 y2= predicted migration distance of butterflies (based on body mass) x= body mass of butterflies null hypothesis: a1=a2 and b1=b2 and c1=c2 bootstrap to test if the coeffients (a, b, c) of the y1 and the y2 model differ [[alternative HTML version deleted]]

Dear All, I am new to R and am trying to learn how to create functions using R. Below is code which calculates Lin's Concordance Coefficient. After I calculate the coefficient I want to create a scatter plot which annotates the coefficient along with preceding text onto the plot. The below code doesn't seem to work. If I use only the object 'lincc' on the text command it works

Dear List, I'm using GAMs in a multiple imputation project, and I want to be able to combine the parameter estimates and covariance matrices from each completed dataset's fitted model in the end. In order to do this, I need the knots to be uniform for each model with partially-imputed data. I want to specify these knots based on the quantiles of the unique values of the non-missing

...o the list, then it does build a list, but none of the elements of the list have any attributes. The list printout makes it look as though the stored items are just the text printout you get when you type "estim" on the command line, rather than an object that answers to myList[1]$coeffients or some such. -- Paul E. Johnson email: pauljohn at ukans.edu Dept. of Political Science http://lark.cc.ku.edu/~pauljohn University of Kansas Office: (785) 864-9086 Lawrence, Kansas 66045 FAX: (785) 864-5700 -.-.-.-.-.-.-.-.-.-.-....

Hi, I have a data-matrix: > PID sato hrs fim health 214 3 4.376430 6.582958 5 193 6 4.361825 3.138525 6 8441 6 4.205771 3.835886 7 7525 6 4.284489 3.245139 6 6806 7 4.168926 2.821833 7 5682 7 1.788707 1.212653 7 5225 6 1.651463 1.436980 7 4845 6 1.692710 1.267359 4 4552 5 1.686448 1.220539 6

Hi, I conduct a univariate regression with lm function. I would like to get the p value for the regression. Is there a method that would enable me to extract the p value into a variable. Thanks. Arjun Bhandari ************************************************************************************************************** This email and any files transmitted with it are confidentia...{{dropped}}

Hello, Have someone performed a bootstrap in a multiple-mediator model? I am trying to compute a bootstrap in a multiple and multilevel mediation. Up top now, I have developed bootstraps in random coeffient models, but I am very lost concerning the mediation. Could someone to provide me some ideas about syntax in R? Thank you very much in advance, Bea

Dear ALL, I use BEKK package to estimate Bivariate GARCH model. But when the results come out, there's no t-stat or p-value of the estimated coeffients. Does anyone know how to get the significance? Followings are the codes I input, >P1=data.frame(x,y) >y1=mvBEKK.est(P1) >mvBEKK.diag(y1) Anyhelp would be appreciated! Sincere, Zoe -- View this message in context: http://r.789695.n4.nabble.com/the-significance-of-BEKK-estimation-tp3716...

Hi there, I have a predictor varible "class" which is a categorical variable and a ' coxph' is used to find the coeffients. How can I plot the predicted survival proportion based on this model? Thanks Lisa Wang Princess Margaret Hospital Toronto tel 416 946 4501

...y=ax^2+bx+c with the function of lm. y1= observed migration distance of butterflies(y1=a1x^2+b1x+c1) y2= predicted migration distance of butterflies (based on body mass) (y2=a2x^2+b2x+c2) x= body mass of butterflies Now I would like to check the two regression model differ by testing if the coeffients (a, b, c) of the y1 and the y2 model differ (null hypothesis: a1=a2 and b1=b2 and c1=c2) Please kindly advise any significant test in R for the purpose. Also, please kindly advise how to apply Bonferroni procedure in the test if necessary. Thank you in advance. Elaine [[alternative HTML ve...