search for: propotion

...ot;blue","green","red"),...) } ) but in plot, x-axis scale ranges from 0 to 30 though I have "Freq" column values in range of 0 to 100. I have tried many ways to get x-axis scale to 0 to 100, including xlim=c(1:100), but still bars in plot are not propotional to the range 0 to 100. hence can somebody let me know how get bars in the plot propotional to x-axis range 0 to 100? Regards, mlsc [[alternative HTML version deleted]]

...my question. I read the guideline on not posting binary files and > therefore taught it was ok to send text files like word files. I do > apologize. > > > Yours sincerely, > > > Anand > > > > https://stats.stackexchange.com/questions/286920/ > comparing-pooled-propotions-using-r-for-a-meta-analysis > > > <https://stats.stackexchange.com/questions/286920/comparing-pooled-propotions-using-r-for-a-meta-analysis> > Comparing pooled propotions using R for a meta-analysis > <https://stats.stackexchange.com/questions/286920/comparing-pooled-propot...

> On Jun 23, 2017, at 5:53 AM, Jay Zola <jayjay.1988 at hotmail.nl> wrote: > > Dear sir/madame, > > > I am currently writing a meta-analysis on the complication and reoperation rates of 5 different treatment modalities after a distal radius fracture. I was able to pool the rates of the 5 different rates using R. Now I have to compare the pooled rates of the 4 treatment

With R and the hist function, is there a way to make a histogram in which the y axis denotes propotion with respect to a separate sample dataset of the same range instead of frequency? [[alternative HTML version deleted]]

Dear sir/madame, I am currently writing a meta-analysis on the complication and reoperation rates of 5 different treatment modalities after a distal radius fracture. I was able to pool the rates of the 5 different rates using R. Now I have to compare the pooled rates of the 4 treatment modalities with the golden standard separately. I though the chi squared test would be the best method. How do

...lready survfit.simple.cox.ethnicity <- survfit(simple.cox.ethnicity,survmat) #survmat is a data.frame that contains Treatment and ethnicity plot(survfit.simple.cox.ethnicity, col=c("red","black"), main="survfit.simple.cox", xlab="survival time", ylab="propotion surviving") Thank you so much for your help. Yours gratefully, Brent Caldwell

I am calculating cox propotional hazards models with the coxph function from the survival package. My data relates to failure of various types of endovascular interventions. I can successfully obtain the LR, Wald, and Score test p-values from the coxph.object, as well as the hazard ratio as follows: formula.obj = Surv(days, s...

...t; survfit.simple.cox.ethnicity<- survfit(simple.cox.ethnicity,survmat) #survmat is a data.frame that contains Treatment and ethnicity > plot(survfit.simple.cox.ethnicity, col=c("red","black"), main="survfit.simple.cox", xlab="survival time", ylab="propotion surviving") > > Thank you so much for your help. > Yours gratefully, > Brent Caldwell

Hi all, i know that for each virtual machine i can set up a number of vcpu. But if i want to give only a % of the real CPU? For example: how can i set up a virtual domain for using only 20% of the real CPU? is it possible? Ty in advance D. _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com http://lists.xensource.com/xen-users

With ggplot2, I can plot the glm stat_smooth for binomial data when the response is binary or a two-level factor as follows: data("Donner", package="vcdExtra") ggplot(Donner, aes(age, survived)) + geom_point(position = position_jitter(height = 0.02, width = 0)) + stat_smooth(method = "glm", family = binomial, formula = y ~ x, alpha = 0.2, size=2) But how can I

Hi, I tried this one over on the main wx-users list as well, but thought I would try it here since I am using wxRuby: I am using wxWidgets 2.8.7 on a linux box using the GTK build. I have pared down my issue to the simplest case: I am trying to use a horizontal BoxSizer to split a frame into two sections: a left and right side. I want the left side to stretch proportionally and I want the

Hi list, I want to find the total maximum resources I can spend given a set allocation proportion and some simple budget constraints. However, I get suboptimal results via lp and friends (i.e. lpSolve and simplex in the linprog and boot) . For example: library(lpSolve) proportions = c( 0.46, 0.28, 0.26) constraints = c( 352, 75, 171) lp(objective.in = proportions, const.mat =