facet

Is it possible to sort factors in a multipanel plot in ggplot2 according to the first panel? The first panel decides the order and the remaining panels follow that order. Here is an example: require(ggplot2) set.seed(36) xx<-data.frame(YEAR=rep(c("X","Y"), each=20), CLONE=rep(c("A","B","C","D","E"), each=4, 2), TREAT=rep(c("T1","T2","T3","C"), 10), VALUE=sample(c(1:10), 40, replace=T)) ggplot(xx, aes(x=CLONE, y=VALUE, fill=YEAR)) + geom_bar(stat="identity", position="dodge") + facet_wrap(~TREAT) Which gives me this plot: Now I would like to sort CLONE based on the VALUE in YEAR X in a

In the example below I have a dataset containing two experiments F1 and F2. A classification is performed based on F1 signal, and both F1 and F2 values are ordered accordingly. In this diagram, each facet has the same dimension although the number of rows is not the same ( e.g class #7 contains only few elements compare to the other classes). I would like to modify the code to force row height to be the same across facets (facets would thus have various blank space below). Any hints would be greatly appreciated. Thank you library(ggplot2) library(reshape2) set.seed(123) # let's create a fake

Is possible to control separately the limits and the breaks of a given axis ( x of y ) when the facet_grid uses the `scales="free_smth" parameter? I have a plot where I have used `facet_grid(scales="free_y") because the faceted data are of different orders of magnitude. Now I would like to control separately the limit of the y axis for each of those grids: for example make each of the y axis 10% longer? Is there a way to achieve that? For the breaks I found this post: Change the number of breaks using facet_grid in ggplot2 dput(mod) structure(list(clusteringDistance = c(0, 0, 0, 0, 0, 0, 0, 0,

I would like to plot these data with ggplot: library(ggplot2) set.seed(0) df <- data.frame( var1 = rep(c("group1", "group2"), each = 3), var2 = rep(letters[1:3], 2), value = runif(6, 0, 10) ) The plot should be faceted like this: pl <- ggplot(df, aes(var2, value)) pl <- pl + geom_col() pl <- pl + facet_wrap(~ var1, scales = "free") pl The order of var2 on the x-axis should be determined by increasing order of value . I could achieve this doing: df$temp_var <- paste(df$var1, df$var2) pl <- ggplot(df, aes(reorder(temp_var, value), value)) pl <- pl + geom_col() pl <- pl + facet_wrap(~ var1,

I want to use Django-Haystack-Solr in a site I am working on. I have worked through the examples in the Haystack documentation and have searched the internet extensively for other examples. I am having difficulty making the leap to integrating it in my site. I found http://www.slideshare.net/Nagyman/faceted-navigation-using-django-haystack-and-solr interesting, but fell short of how to pull it all together. If anyone has run across some "robust" Haystack faceting examples, websites that are open-source, or would be willing to share some of your own code please provide links/share code. Thanks