similar to: hist function to give each cell equal area

How to use ggplot to do the binned quantile plots(one type of scatter plot)? Hi all, I have done scatter plot: plot(x, y). Now I wanted to do binned quantile plots... can ggplot2 help me? For example, we bin x data into 10 bins. For each bin, we draw the 10 deciles of the corresponding y data in that bin as points/dots. And then accross all bins, we would like to connect the corresponding

I have data that looks (very roughly) like this... Declarative: Several 'groups', each group with a very variable number of data points associated. Procedural: v.1 <- c(rep(50,1), rep(5,5), rep(2,10)) # Set up v.2 <- c('a','b','c','d','e','f','g','h', # the

I'm trying to create histogram (using hist()) that fullfill the following criteria: * data is on a ordinal scale (1, 2, 3, 4, 5) * I want bars centered over the number on the x-axis * I want 5 bars of equal width I have tried various versions of the hist() command, with no luck. what am I missing? /Par -- Par Leijonhufvud par at

In the following, 'probability=T' is ignored, i.e. the vertical axis is labelled in frequencies. However hist(islands, freq=F) achieves the desired effect. > data(islands) > hist(islands, probability=T) # Vertical axis gives frequencies > hist(islands, freq=F) # Expected result --please do not edit the information below-- Version: platform = i386-pc-mingw32

This gives EXDEV for clone operations that btrfs could otherwise execute and with slight change of circumstances will actually execute fine. Imagine we have a btrfs on /dev/mapper/foobar with subvols /foo and /bar. Let’s also imagine top of said fs in mounted at /mnt. In this case, a cross-subvol clone of /mnt/foo/srcfile to /mnt/bar/dstfile will succeed. However, if only the individual

Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1 Signif. codes: 0 <80><98>***<80><99> 0.001 <80><98>**<80><99> 0.01 <80><98>*<80> <99> 0.05 <80><98>.<80><99> 0.1 <80><98> <80><99> 1 Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1 hmm... they go away when I

This has been asked before, but all the answers are hidiously complex. The legend.text=TRUE option of barplot is almost exactly what I need, except I need a legend.placement='tl' (top left) option. This option would be in contrast to the default placement which we could call 'tr' (top right). Anyone know how to edit the barplot code to make this change? Could someone like me

Hello all, It seems that the next improvement to the R Graph Gallery is categorization of the graphics, that way each graph will be easier to find. That step should be done *carefully* if we want to avoid the opposite side-effect : graph not reachable through the categories. That's why the wisdom of the R community is required. Graphics will be classified in : - categories -

Hello, supposing that I have two or three clear categories for my data, lets say pet preferece across fish, cat, dog. Lets say most people rate their preference as being mostly one of the categories. I want to do pca on the data to see three 'groups' of people, one group for fish, one for cat and one for dog. I would like to see the odd person who likes both or all three in the

I want to add values onto the end of a vector, for example... x <- vector for (i in 1:5){ add_to_end_of_vector(i,x) } I just cant find the answer to this question! Sorry for such a basic question, I tried... x <- c() for (i in 1:5) x[length(x)] <- i but it didn't work.

Hello! I want to upgrade the docevot-installation from v 1.0.5 to 2.1..7 Now I get the following executing doveconf -n -c /etc/dovecot/dovecot.conf > /home/mail1/dovecot-2.conf doveconf: Warning: Obsolete setting in /etc/dovecot/dovecot.conf:217: add auth_ prefix to all settings inside auth {} and remove the auth {} section completely doveconf: Warning: Obsolete setting in

Hi All, I would like to match some datasets. Both deliver variables AND cases which might or might not be present in all datasets: This sequence Kunden <- Kunden_2011 Kunden <- merge(Kunden, Kunden_2012, by.x = "Debitor", by.y = "Debitor") Kunden <- merge(Kunden, Kunden_2013, by.x = "Debitor", by.y = "Debitor")

Full_Name: Dan B Version: na OS: na Submission from: (NULL) (80.6.127.185) I can't log into the bug tracker (I can't find where to register / login). In this way I can't add the following context diff (hopefully in the right order) for my changes to the matrix.Rd... Hmm... I guess this should be a separate report anyway... The first diff explains how the dimnames list should

The following single line of code shows what I am trying to do, and the problem I am having... barplot(c(101,102,103),ylim=c(100,103)) The 'xaxis' is missing, and the grey bars 'fall off' the plot area. This is generally ugly, and I would like to trim the bars (ideally they would have a ragged appearance to show that I am 'zooming in'). I can see why what I am trying to

Hi I want to create a vector of colors that are as different from one another as possible. ?rainbow states "Conceptually, all of these functions actually use (parts of) a line cut out of the 3-dimensional color space...". This suggests to me that the resulting colors are all placed on this "line" and are equi-distant along it. The resulting color palette is a range of

Not an R question directly, but has anyone got a method for placing a moderately large number of (near) equi-spaced points on a sphere? I have a nasty feeling platonic solids are needed for exact solutions and I'm thinking of samplings involving around 200 - 1000 regularly-spaced points, Thanks, Richard Rowe Richard Rowe Senior Lecturer Department of Zoology and Tropical Ecology, James

Hi, I believe this question has been asked before, but I cant find and don't remember the answer. The problem is simple, calling 'plot.data.frame(x)' gives a nice 'matrix of scatterplots' for each pair of columns in x. for example; x <- data.frame(a=jitter(01:20), b=jitter(20:01), c=jitter(21:40), d=jitter(rep(01,20)),

If I perform PCA on the 'eurodist' data, should I get an accurate geographic layout of the cities with biplot? (barring inversions, i.e. their is no way to define north.. but you get the idea...) I have a complex distance matrix, and I am thinking about how to cluster it and how to visualize the quality of the resulting clusters. If I could 'see' the clusters in space I could

Hi, Since I started to make some 'final' plots of my data I found that I have tons of questions related to 'the little things'. Rather than bother the list with all the questions (ahem), or search the archives for similar questions and translate the context, I would like to find a FAQ for plotting in particular (and R programming in general). I know for sure (searching the

Hi, all. I'm using hist() to obtain a vector of break values in an interval. I then want to be able to identify which cell any value from another vector falls in. E.g. applying > breaks [1] -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 to > x [1] -3.74519666 -0.38183630 -1.22884247 -0.20971824 -0.30533939 -0.36271207 [7] -2.27513499 -2.23688653 -1.98827155 -1.48666274