facet

Does anybody know a good link with a list of all existign JSF/Tobago facets containing explanation what the facet is good for? Until now I know about the "layout" and "confirmation" facet but I haven't found a website showing up all the other existing facets... Thanks in advance! Usually the documentation for the individual tags has a description for their facets. For example, http://java.sun.com/javaee/javaserverfaces/1.2/docs/tlddocs/h/dataTable.html describes some of the facts it accepts, like header and footer. If you do find a comprehensive list of all facets for every tag though, let me

I would like to retrieve data about a string field like the min, max and average length (by counting the number of characters inside the string). My issue is that aggregations can only be used for numeric fields. Besides, I tried it using a simple statistical facet, "query":{ "match_all": {} }, "facets":{ "stat1":{ "statistical":{ "field":"title"} } } but I get shard failures and SearchPhaseExecutionException. When trying with a script field the error returned is an OutOfMemoryError: "query":{ "match_all": {} }, "script_fields":{ "test1":{"script": "doc[\"title\"].value" } } Is it possible to

I created pie charts displaying different scores (0 - 100%) in ggplot with the help of facet_grid(). However the last score is a total score combining the other scores and in order to distinguish it better from the other scores I would like to change the parameters for this specific facet. Ideally, I would like to make the facet-label bold and move the facet a bit further away from the other facets, but I have no idea how to change the parameters of only one specific facet. library(ggplot2) df <- data.frame(label = c("A", "B", "Total"), score = c(60, 70, 65)) ggplot(df, aes(x = "", y = score))

I have the following data.frame: x = data.frame(category=c(1,1,1,1,2,2,2,2), value=c(1,2,1,1,2,2,2,1)); x$category = as.factor(x$category); x$value = as.factor(x$value); and I have created a faceted bar chart with ggplot2. ggplot(x, aes(value, fill=category)) + geom_bar() + facet_wrap(~category); However, I would like to have a pie chart that shows the fraction values (based on the totals for each category). The diagram should then show one pie chart for each category and two fractions inside each pie chart, one for each value factor. The real data has up to 6 categories and I have a few 1000

Let me explain in pictures what I mean: set.seed(1) ## dummy data.frame: df <- data.frame( value1 = sample(5:15, 20, replace = T), value2 = sample(5:15, 20, replace = T), var1 = c(rep('type1',10), rep('type2',10)), var2 = c('a','b','c','d')) ## Plot 1 ggplot() + geom_point(data = df, aes(value1, value2)) + facet_grid(~var1) + coord_fixed() ggsave("plot_2facet.pdf", height=5, units = 'in') #Saving 10.3 x 5 in image ## Plot 2 which I want to save in a separate file (!) ggplot() + geom_point(data = df, aes(value1, value2)) + facet_grid(~var2) + coord_fixed() ggsave("plot_4facet.pdf", height=5,

I have a Field defined as <fieldType name="text_ws_lc" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0

I have a data frame created with this code: require(reshape2) foo <- data.frame( abs( cbind(rnorm(3),rnorm(3, mean=.8),rnorm(3, mean=.9),rnorm(3, mean=1)))) qux <- data.frame( abs( cbind(rnorm(3),rnorm(3, mean=.3),rnorm(3, mean=.4),rnorm(1, mean=2)))) bar <- data.frame( abs( cbind(rnorm(3,mean=.4),rnorm(3, mean=.3),rnorm(3, mean=.9),rnorm(3, mean=1)))) colnames(foo) <- c("w","x","y","z") colnames(qux) <- c("w","x","y","z") colnames(bar) <- c("w","x","y","z") rownames(foo) <- c("n","q","r") rownames(qux) <- c("n","q","r") rownames(bar) <- c("n","q","r") foo <- cbind(ID=rownames(foo),foo) bar <-