facet

问题 I would like to create a plot with Using part of the data to create a base plot with facet_grid of two columns. Use remaining part of the data and plot on top of the existing facets but using only a single column. The sample code: library(ggplot2) library(gridExtra) df2 <- data.frame(Class=rep(c('A','B','C'),each=20), Type=rep(rep(c('T1','T2'),each=10), 3), X=rep(rep(1:10,each=2), 3), Y=c(rep(seq(3,-3, length.out = 10),2), rep(seq(1,-4, length.out = 10),2), rep(seq(-2,-8, length.out = 10),2))

问题 I've been learning ggplot in the last few weeks. Generally, I'm getting things done (slowly though), but now I'm stuck. I created the following facetted plot: http://dl.dropbox.com/u/7752237/example_bad_y_scales.pdf Faceting is done by pl <- pl + facet_wrap(~sci_name,ncol=1,scale="free") The Problem: Numbers on the y-scale don't look good, especially the scales that go from 0-70 (numbers overlapping). I'd like the somehow change the number of breaks on the y-scale (to let's say just 1 or 2

问题 I have a data frame with two qualitative variables (Q1, Q2) which are both measured on a scale of LOW, MEDIUM, HIGH and a continuous variable CV on a scale 0-100. s = 5 trial <- data.frame(id = c(1:s), Q1 = ordered(sample(c("LOW","MED","HIGH"),size=s,replace=T)), Q2 = ordered(sample(c("LOW","MED","HIGH"),size=s,replace=T)), CV = runif(s,0,100)) I need to use ggplot to show a faceted plot (preferably a horizontal boxplot/jitter) of the continous variable for each qualitative variable (x2) for

问题 For a field mapped as string I have stored list of strings in the ES index, for ex: subject: ["Scientific Research", "Numerical Analysis", "History of Art"] I would like to query this field and retrieve the full names of categories with their frequency count. What I tried so far with facets: "query":{ "match_all": {} }, "facets":{ "tag":{ "terms":{ "field":"subject"} } } is not working as expected because it splits my subject fields into tokens and returns me the top most frequent stopwords.

问题 I was answering this question that I faced a strange problem; I want to make a bar plot with ggplot2 and have x axis labels as the last character of Group column. Use substring(Group, 3, 3) for this purpose: substring(df$Group, 3, 3) # [1] "1" "2" "3" "1" "2" "1" "2" "3" "4" But when I use it in ggplot like below, it prints 1 instead of 4 at the last tick; ggplot(data=df, aes(x=Group, y=Value)) + geom_bar(stat="identity") + scale_x_discrete(labels = substring(Group, 3, 3), expand=c(0.1,0.1))

问题 I want to run multiple facets in one aggregation to save db round trips. Here is my spring data code : final BalancesDTO total = this.mongoTemplate.aggregate( newAggregation( /* * Get all fund transactions for this user */ match(where("userId").is(userId)), /* * Summarize Confirmed Debits */ facet( match(where("entryType").is(EntryType.DEBIT) .andOperator(where("currentStatus").is(TransactionStatus.CONFIRMED))), unwind("history"), match(where("history.status").is(TransactionStatus.CONFIRMED))

问题 I am using SOLR 6.5.1 with facet filters. My query has: facet.limit=-1 --> to generate all possible facets values facet.sort=index --> to order facets values not by number of occurrences but by the value itsef For instance, one facet has integers as values (in particular the fields contains years). So the values are (occurences in brackets): 2010 (438) 2011 (547) ... 2017 (367) The facet is correctly ordered by value but with asc order (2010-->2017). How can obtaint the reverse order (2017--

问题 I am trying to plot monthly roseplots in R using the code below but I am encountering an error: "Error: Faceting variables must have at least one value" Here is the data that I am using Link to data This code came from a previous post: Rose plot using ggplot require(ggplot2) require(RColorBrewer) require(scales) plot.windrose <- function(data, spd, dir, spdres = 2, dirres = 22.5, spdmin = 2, spdmax = 20, spdseq = NULL, palette = "YlGnBu", countmax = NA, debug = 0){ # Look to see what data was

问题 This is an extension of this question. I am currently using the most recent version of ggplot2 (v2.2.0) from CRAN to create plots within R . I am making use of the solution provided by @Axeman here. The trouble I have is that when I use facets sometimes one of the y-axes shows very small values. I am wondering if someone has a clean solutions so that both y-axes can be scaled appropriately. Reproducible example: library(data.table) library(ggplot2) library(scales) dt1 <- data.table(diamonds)

问题 I am doing combinations of correlations, and would like to plot in ggplot2 each combination. However I want each combination on a separate panel, rather than all the points on one panel. #making up columns, in my real data I'm doing correlations between each column (ie. col1~col2, col1~col3, col2~col3) col1 <- c(1:10) col2 <- c(12:3) col3 <- c(10, 12, 18, 19, 20, 30, 31, 32, 40, 41) df <- data.frame(col1, col2, col3) g <- ggplot(data=df, aes(x=col1, y=col3)) + geom_point() I knew this wouldn