facet

Edit the Java Facet setting in eclipse

送分小仙女□ 提交于 2019-12-03 12:28:02
问题 Some background: I'm getting the dreaded "Java compiler level does not match the version of the installed Java project facet" error in my eclipse project. I'm using Eclipse Helios on OS X Snow Leopard. I'm having trouble editing the java facet settings for eclipse and maven. I've searched around and everywhere says to go to Project Properties -> Project Facet and edit the version there. However for my instance of Eclipse, these settings are not available through the UI. How do I edit the java

Multiple colors in a facet STRIP background

。_饼干妹妹 提交于 2019-12-03 09:45:49
问题 I would like to modify the colors of the facet background based on the group. I'm not sure if this is even possible. Specifically, I am using facet_grid (not facet_wrap ) with multiple layers. ## Sample data dat <- mtcars ## Add in some colors based on the data dat$facet_fill_color <- c("red", "green", "blue", "yellow", "orange")[dat$gear] ## Create main plot library(ggplot2) P <- ggplot(dat, aes(x=cyl, y=wt)) + geom_point(aes(fill=hp)) + facet_grid(gear+carb ~ .) ## I can easily cahnge the

ggplot2 stat_function with calculated argument for different data subset inside a facet_grid

白昼怎懂夜的黑 提交于 2019-12-03 08:21:16
I have a follow up question to how to pass fitdistr calculated args to stat_function (see here for context). My data frame is like that (see below for full data set): > str(small_data) 'data.frame': 1032 obs. of 3 variables: $ Exp: Factor w/ 6 levels "1L","2L","3L",..: 1 1 1 1 1 1 1 1 1 1 ... $ t : num 0 0 0 0 0 0 0 0 0 0 ... $ int: num 75.7 86.1 76.3 82.3 98.3 ... I would like to plot a facet_grid grouped by Exp and t showing the density histogram of int as well as plot the fitted log-normal distribution on it (lognormal line colored by t). I have tried the following: library(MASS) meanlog <-

Solr and facet search

萝らか妹 提交于 2019-12-03 07:27:49
问题 Does facet searching come built in when you setup your schema or do you have to do some things to set this up? Does it basically work out of the box on all the fields that you have setup to be sortable? then you just use the fq query syntax and it will return the facet xml along with the search results? Is there a nice article on this that helped you first time around? 回答1: Yes, you can facet any indexed field out of the box. However it might not give you the results you expect until you

Getting “Project facet Java version 1.8 is not supported.” in Eclipse Luna

北城以北 提交于 2019-12-03 06:36:49
问题 I am using up-to-date Eclipse Luna which should be ready for Java 8. However when I choose to create a new server with Tomcat 7 and click Next, in the Add and Remove screen I can't move my project because "Project facet Java version 1.8 is not supported." What is the problem and how can I fix this? 回答1: I solved the problem. Go to Project Properties -> Project Facets -> Runtime -> New -> Add a tomcat server and in JRE select JRE1.8.0_XX. Did the work for me 回答2: In eclipse you can change the

Solr and facet search

人走茶凉 提交于 2019-12-02 20:58:56
Does facet searching come built in when you setup your schema or do you have to do some things to set this up? Does it basically work out of the box on all the fields that you have setup to be sortable? then you just use the fq query syntax and it will return the facet xml along with the search results? Is there a nice article on this that helped you first time around? Yes, you can facet any indexed field out of the box. However it might not give you the results you expect until you configure faceting fields according to your data types . Faceting is enabled and used through the facet.*

Getting “Project facet Java version 1.8 is not supported.” in Eclipse Luna

别说谁变了你拦得住时间么 提交于 2019-12-02 20:14:20
I am using up-to-date Eclipse Luna which should be ready for Java 8. However when I choose to create a new server with Tomcat 7 and click Next, in the Add and Remove screen I can't move my project because "Project facet Java version 1.8 is not supported." What is the problem and how can I fix this? I solved the problem. Go to Project Properties -> Project Facets -> Runtime -> New -> Add a tomcat server and in JRE select JRE1.8.0_XX. Did the work for me In eclipse you can change the java version from your tomcat, see picture: vincent zhang That is because you just changed your JRE location in

How to set a Java project facet to 12?

点点圈 提交于 2019-12-02 17:46:46
问题 I'm trying to set up a JavaEE project with Java 12 in Eclipse 2019-03 (4.11). I installed support for Java 12 and the following web tools: If I set the compiler and jdk to 12, I get an error that it does not match the facet number which is 11. I don't have a way to choose 12: I installed JBoss Tools too which support Java 12: Why can't I choose java facet 12? 回答1: Just like you had to patch JDT support for 12 onto 2019-03, a Java 12 Facet doesn't exist yet. We're looking into having one for

What does <f:facet> do and when should I use it?

丶灬走出姿态 提交于 2019-12-02 17:24:37
I have been having trouble with the tag <f:facet> . I am working form other examples of code which use it, but I'm not sure exactly what purpose it serves. I have written some code which in method is exactly the same as other code I have seen which works, except there's is wrapped in a <f:facet name=actions> tag. When I add this around my code the drop down box I am wrapping it around disappears when I deploy. Anyone able to suggest a reason for this or give me an insight into how and when to use facet? Here is my code, I won't bother adding the bean code as they're just basic getters and

Stacked bar chart with group by and facet

不打扰是莪最后的温柔 提交于 2019-12-02 11:58:17
问题 My data looks like this: system operation_type prep_time operation_time A x 0.7 1.4 A y 0.11 2.3 A z 1.22 6.7 B x 0.44 5.2 B y 0.19 2.3 B z 3.97 9.5 C x 1.24 2.4 C y 0.23 2.88 C z 0.66 9.7 I would like to have a stacked chart on prep_time and operation time that gives me total_time grouped by system and then faceted by operation_type. My code looks like this for now. library(ggplot2) df <- read.csv("test.csv", strip.white=T) plot <- ggplot(df, aes(x=system,y=(prep_time+operation_time))) +