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Hi Folks, I have data that looks like this: freq gender xBar 1000 m 2.32 1000 f 3.22 2000 m 4.32 2000 f 4.53 3000 m 3.21 3000 f 3.44 4000 m 4.11 4000 f 3.99 I want to plot two lines (with symbols) for the two groups "m" and "f". I have tried the following: plot(xBar[gender=="m"]~freq[gender=="f"]) followed by

Hi Folks, Here is my attempt at a simple polar plot. > pos <- seq(0,360,by=5) > tspk <- rep(c(1,0,1),c(13,47,13)) > require(plotrix) > polar.plot(tspk,pos,rp.type="s",point.symbols=17,point.col="green4") I only see half the symbols, the other half of each symbol is hidden under the circular grid. In fact if I change rp.type="r", I see the

Hi Folks, After loading a data set, I run the following: > kSum <- orderBy(~group,(summaryBy(DP_Level~F2 +group,data=kdata,FUN=c(mean,sd),na.rm=T))) kSum looks like this: > kSum F2 group DP_Level.mean DP_Level.sd 1 1.0 N -1.55186475 11.022245 4 2.0 N -2.48013300 10.624583 7 3.0 N -12.47671250 11.104792 10 4.0 N -13.72430950 12.000779 13

Hi Folks, I have just started using dplyr and could use some help getting unstuck. It could well be that dplyr is not the package to be using, but let me just pose the question and seek your advice. Here is my basic data frame. head(h) subject ageGrp ear hearingGrp sex freq L2 Ldp Phidp NF SNR 1 HALAF032 A L A F 2 0 -23.54459 55.56005 -43.08282

Hi folks, I am trying to figure out how run a repeated measures ANOVA on the following data set. subject trial frequency dplvl 1 FSI052A A 1 NA 2 FSI052B B 1 NA 3 FSI053A A 1 NA 4 FSI055A A 1 NA 5 FSI055B B 1 NA 6 FSI057A A 1 NA 7 FSI057B B 1 NA 8 FSI058A A 1 NA 9