> > > Mario Dejung wrote: >> Hey everybody, >> I try to make a graph with two different plots. >> >> >> First I make a boxplot of my data. It is a collection off correlation >> values of different pictures. For example: >> >> 0.23445 pica >> 0.34456 pica >> 0.45663 pica >> 0.98822 picb >> 0.12223 picc >> 0.34443 picc >> etc. >> >> Ok, I make this boxplot and I get for every picture the boxes. After >> this >> I want to know, how many correlations per picture exist. >> So I make a new vector y <- as.numeric(data$picture) >> >> So I get for my example something like this: >> >> y >> [1] 1 1 1 1 1 1 1 1 1 1 >> [11] 1 1 1 1 1 1 1 1 2 2 >> ... >> [16881] 59 59 59 60 60 60 60 60 60 60 >> >> After this I make something like this >> >> boxplot(cor ~ pic) >> par(new = TRUE) >> hist(y, nclass = 60) >> >> But there is my problem. I have 60 pictures, so I get 60 different >> boxplots, and I want the hist behind the boxes. But it makes only 59 >> histbars. >> >> What can I do? I tried also >> hist(y, 1:60) # same effect >> and >> hist(y, 1:61) >> this give me 60 places, but only 59 bars. the last bar is 0. > > > In fact, I am pretty sure you really want to have a barplot() rather > than a histogram. If you really want to use hist(), then perhaps hist(y, > 0:60). > > Uwe Ligges > Ok, it seems you are right, but I'm a beginner in R, so maybe you can help me a little bit more.
When I use the hist function, it automatically uses the frequency of the different numbers, so I will get normally 60 bars. When I use the barplot function, then I have to count the frequency of the numbers. Is there a function who can do this, or should I write a function on my own. Sorry, I'm sure it is a stupid question, but maybe someone can give me a good reference for answers, because I am a beginner :-) Thanks to everyone Mario > > >> I hope anyone can help me. >> >> Regards Mario >> >> ______________________________________________ >> [email protected] mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
