search for: gray10

...ot;) model<-data.frame(F,M,P,B) row.names(model)<-c("Jul07","Aug07","Sep07","Oct07","Nov07","Dec007") model par(mgp=c(2, 1, 0),bty="o" ) matplot(model, pch = c(1,22,17,16), type = "o",lty=c(2,2,2,5), col =c("gray10"," gray10","gray10","gray10"),xlab="Month-Year",ylab="Zinth", xaxs = "i", yaxs = "i",main="Model Output") legend("topleft", legend = c("F", "M","P","B"),text.width...

..., data=ordinate) abline(v=0,h=0) par(new=TRUE) # Define cars vector with 8 values cars <- c(1,1,1,1,1,1,1,1) # Define colors in each sector color1 <- c("grey80","grey80","grey80","grey80","gray80","grey30","grey20","gray10" ) ## gray10=<0.0001, gray20<0.001, gray30<0.01, gray40=<0.05, gray 80=>0.05 # Putting sector levels car_labels <- c(1,2,3,4,5,6,7,8) car_labels <- paste(car_labels,sep="") # Create a pie chart with defined heading and custom colors # and labels pie(cars, main=...

Hi, In the example dataset below - how can I cahnge "gray20", to "blue" # data black <- rep(c("black","red"),10) gray <- rep(c("gray10","gray20"),10) black_gray <- data.frame(black,gray) # none of this desperate things works # replace(black_gray$gray, gray=="gray20","red") # if(black_gray$gray=="gray20"){black_gray$gray<-"blue"} # for (i in black_gray$gray)if(black_gray...

Hello, I apologize for the post as I am certainly overlooking a simple solution to my difficulties with getting a legend to print on a survplot from the rms package. I am plotting the following: survplot(survest(fita), n.risk=T, conf='none', cex.n.risk=.85, dots=T, col='gray10', lty=2) survplot(survest(fit), n.risk=F, conf='none', add=T) survplot(survest(fitb), n.risk=F, conf='none', col='gray20', add=T, lty=4) I have tried to place 'label.curves=list(method="arrow", cex=.8)' and others as suggested in ?survplot in any and a...

I would like to organize my data as follows: I have a table that contains various data, and the numbers represent a level of similarity between these data, eg RF00013 has 100% similarity with the data RF00014. I would leave my table as a heatmap where darker colors represent higher similarity, and the lighter colors represent less level of similarity. I'm using version 2.11 of R. these

Hello, I've a question concerning the display of interval data. A sample dataset where X is an interval between Xa and Xb which should be displayed: Y=c(15,14,23,18,19,9,19,13) Xa=c(17,22,21,18,19,25,8,19) Xb=c(22,22,29,34,19,26,17,22) X = (Xa+Xb)/2 It's easily possible to plot the mean of the interval like: plot(X,Y) afterwards I can create lines for the interval with:

...quot;#080808", "gray4", "#0A0A0A", "gray5", "#0D0D0D", "gray6", "#0F0F0F", "gray7", "#121212", "gray8", "#141414", "gray9", "#171717", "gray10", "#1A1A1A", "gray11", "#1C1C1C", "gray12", "#1F1F1F", "gray13", "#212121", "gray14", "#242424", "gray15", "#262626", "gray16", "#292929&q...

Hey everyone, I am an R-newby... so sorry for bothering you with simple-to-solve questions;) I have the following issue: trying to add labels to my scatterplots (with geom_dl in ggplot2). Everything works fine, but after checking every resource I do not find a way to change the font size of my labels. I tried size, cex, fontsize at every position... but it always stays the same. ggplot()+