similar to: forestplot

Hi, I been using dovecot for awhile and its been solid, however I been having some issues with dictionary attacks. I installed fail2ban and for the most part is working fine. However today I got another spammer relaying through my server. Looking at the logs I see the following dictonary attack from 94.242.206.37 Nov 10 03:04:38 pop dovecot: pop3-login: Disconnected: rip=94.242.206.37,

Hi hoping someone can help me a little with this one. I have 2 mail servers, the incoming mail server runs dovecot and the outgoing mail server runs postfix with sasl. Lately I noticed a lot of spammers are running dictionary attacks on my incoming server and then using that user/password for sasl on the outgoing server. The weird thing is I never see on the logs the guessed

I know there is a function forestplot from rmeta package and also the plot.meta from the meta package and maybe others, but they are rather complicated with extra plot parameters that I do not need and also they process only objects created with other package functions. But I wonder if anyone has a much simpler function using the basic plot to make a forestplot with only a median (or mean) and

Hi, It is known that the area of square plotted by forestplot is proportional to the studies' weights. But since there is not weight parameter in forestplot function, how does this function proportion the area of each square based on the related study's weight? Look forward to your reply, Carol [[alternative HTML version deleted]]

Dear R users, I would like to adjust the x axis the way I wanted using "forestplot(labeltext, mean, lower, upper, align = NULL, xlab = "", zero = 0, graphwidth = unit(2, "inches"), col = meta.colors(), xlog = FALSE)". I tried using xaxt="n" and then redefine the axis using axis(1, at=c(0,0.5,1.0 ,1.5,2.0,2.5),label=c(0,0.5,1.0,1.5,2.0,2.5)), but it

Hi All, I have been able to modify the x-axis to start at zero by adding xlow and xhigh parameters; that was pretty simple. I have been unable to find the location of the code that would turn off the information weighting of the box size (I have smaller randomized trials getting less weight than a much larger non-randomized trial). The function is forestplot() from rmeta. Thanks for any

> From: Abhijit Dasgupta <adasgupta@araastat.com> > Date: October 31, 2010 1:30:02 AM EDT > To: Matt Shotwell <shotwelm@musc.edu> > Subject: Re: [R] ForestPlot or similar > > I just did something very similar using ggplot's pointrange geom. In the following, I'm plotting hazard ratios, for which the nominal value is 1 and not 0. x has 5 columns: drug, hr,

Hello R users, I would like to create several forestplots with the same X axis, so, if you were to look at the plots lined up all the X axes would be identical (and the different plots could be compared). Here is one version of code I've used: mytk10<-c(0.1, 0.5, 1, 2, 5, 10) pdf(file = "myfile.pdf", pointsize = 7, paper="letter", width=6, height=9)

Dear R users, I am trying to create a forest plot with a table of text using the forestplot() function in the rmeta package. I have been trying to reduce the font size of the resulting table of text, but have not been successful. I have tried adding options like 'cex' or 'font' but none of them seem to work. Is there anything I could do? This is what I have so far:

All, I am using the forestplot function in rmeta. I was able to modify the x axis range by commenting out one line and feeding it two new parameters (I wanted to set zero as the axis start point). #xrange <- c(max(min(lower, na.rm = TRUE), clip[1]), min(max(upper, na.rm = TRUE), clip[2])) #new line xrange <- c(xlow,xhigh) Now I am trying to modify the text font size for

Hi, How is the combined value (displayed by a diamond on the forest plot) of a meta-analysis illustrated by a forest plot calculated? The applied method and all calculation details are welcome. Thanks Carol [[alternative HTML version deleted]]

Hi, I'm trying to build a Forest Plot using the second and fourth columns in the table (test.csv) below. My code is the following: curated <- data.frame("test.csv") tmp <- curated$coef tmp1 <- curated$se_coef plt <- metaplot(tmp, tmp1, xlim = c(-.45, .45)) I keep getting the following error at the last line and am not sure why: Error in if (is.na(lower[i] + upper[i]))

Dear all, I could not draw a forest plot for meta-analysis under ramdon models using the rmeta package. The rmeta has a default function for MH (fixed-effect) model. Has the rmeta package been updated for such a function? Or someone revised it and kept a private code? I would appreciate it if you could provide some information on this question. Thanks, Andrew This email is intended

Hello, I have a data with following format:      Predictors          n11     n12     n21     n22     Odds.Ratio    log.ratio    se.log.odds. 1 ProcOR respirato     2 ProcVaric vein      3 DiagCardiac anom   4 DiagAllergy        5  DiagOth skin dx    6    DiagGastritis          I want to plot odds ratio by command: forestplot in rmeta library, but I get the following error constantly.  Error in

Dear R-list, I'd like to do a meta-analysis plot similar to install.packages('rmeta') require(rmeta) data(catheter) a <- meta.MH(n.trt, n.ctrl, col.trt, col.ctrl, data=catheter, names=Name, subset=c(13,6,5,3,7,12,4,11,1,8,10,2)) summary(a) plot(a) (see attached file) by using my own OR (Odds Ratio) and 95% Confidence Interval data set, which looks like

Greetings I have been trying to use metaplot to create a forest plot of my meta-analysis results. My data is in the form of ORs, so I've been inputting the ORs as the point estimate (mn) and the SEs of the logORs as the SE (se). However, whilst the point estimates appear to be displayed properly, many of the confidence intervals go below zero (not possible for an OR, as far as I know). I

I'm running "R CMD check" for 600+ of the packages that depend on survival, and at the end look for ??? grep Status *.Rcheck/00check.log? | grep ERROR to find any that failed.?? But by accident I just looked at the log for the Greg package, which finishes with the lines found below.? Is the final note of WARNING rather than ERROR on purpose, or an error??? If the former, will

Hello, After looking through the archive and documentation for quite some time, I'd be very happy about some help with metaplot and meta.summaries. metaplot: --------- Can I change the label size? I've got 126 values and the intersection of the labels makes it impossible to read them. Why do I have to give sumse (Standard Error) and sumnn (Precision) of the summary estimate? I can

Dear Sir or Madam, I am trying to plot forest plot. I extracted odds ratio and their corresponding 95% confidence interval from papers, then I calculated the log(OR) and standard error using the following command OR<-metagen(logOR,selogOR,sm="OR") forest(OR,comb.fixed=TRUE,comb.random=TRUE,digits=2) However, it does not produce a forest plot. Can someone kindly help? Thank

Hello, I'm ashamed to admit that I'm an R and meta-analysis neophyte just when my colleagues and I are attempting to run R for that latter purpose. We would like to construct a graph of the 95% confidence intervals of odds ratios (inverse odds ratios, actually). We are using the metaplot() function in the "rmeta" package. While we can construct a basic plot, we cannot configure