facet

问题 In ggplot2 , it's easy to create a faceted plot with facets that span both rows and columns. Is there a "slick" way to do this in altair ? facet documentation It's possible to have facets plot in a single column, import altair as alt from vega_datasets import data iris = data.iris chart = alt.Chart(iris).mark_point().encode( x='petalLength:Q', y='petalWidth:Q', color='species:N' ).properties( width=180, height=180 ).facet( row='species:N' ) and in a single row, chart = alt.Chart(iris).mark

问题 So, I have the following data.frame, and I want to generate two plots in one graph for yval vs. xval, for each zval and type tp. The lef > df xval yval se zval cond 1 1.0 1.831564e-02 1.831564e-03 0 a 2 1.2 2.705185e-02 2.705185e-03 0 a 3 1.4 3.916390e-02 3.916390e-03 0 a 4 1.6 5.557621e-02 5.557621e-03 0 a 5 1.8 7.730474e-02 7.730474e-03 0 a 6 2.0 1.053992e-01 1.053992e-02 0 a 7 2.2 1.408584e-01 1.408584e-02 0 a 8 2.4 1.845195e-01 1.845195e-02 0 a 9 2.6 2.369278e-01 2.369278e-02 0 a 10 2.8 2

问题 I am trying to change the order of the facets from BA, SLG to SLG, BA. I have found questions similar to this but I think my solution might not be working because I have summarized the data in excel; Therefore, my data frame might be different. Anyways, I tried implementing this to no avail: df2 <- factor(df, levels = c("SLG","BA")) Any help fixing this issue would be much appreciated. df <- read.table(textConnection( 'POS SLG BA 2B 0.4632 .23 3B 0.468652174 .24 SS 0.4146 .22 1B 0.472368421

问题 I want to create multiple facets of boxplots of my data, which illustrate the amount of each of the chemicals present under various conditions. I have two categorical variables, M1 and M2, which take the values "small, medium, large" and "low, medium, high" respectively. I want these to form the basis of a 3x3 facet grid. I then have 8 chemicals A-H which take a numeric value, and I want a boxplot for each chemical on each facet. I've made a 3x3 facet grid, but only with one chemical on each.

问题 I want to create multiple facets of boxplots of my data, which illustrate the amount of each of the chemicals present under various conditions. I have two categorical variables, M1 and M2, which take the values "small, medium, large" and "low, medium, high" respectively. I want these to form the basis of a 3x3 facet grid. I then have 8 chemicals A-H which take a numeric value, and I want a boxplot for each chemical on each facet. I've made a 3x3 facet grid, but only with one chemical on each.

问题 I want to create multiple facets of boxplots of my data, which illustrate the amount of each of the chemicals present under various conditions. I have two categorical variables, M1 and M2, which take the values "small, medium, large" and "low, medium, high" respectively. I want these to form the basis of a 3x3 facet grid. I then have 8 chemicals A-H which take a numeric value, and I want a boxplot for each chemical on each facet. I've made a 3x3 facet grid, but only with one chemical on each.

问题 I would like to manually (or automatically) alter the panel layout of a faceted graph of a ggplot2 graphic in R. I have seen solutions to annotations and reordering of Facets, but not this specific question. Here is a reproducible example: library(ggplot2) plot <- ggplot(diamonds, aes(carat, price)) + facet_wrap(~cut) + geom_point() If I look at the plot now, you see that the blank facet is allocated in the bottom right corner of the plot grid. All I want to do is make the blank plot location

问题 I'm trying to understand why the second column facet, with #{entry.value} doesn't display anything, just an empty header? <h:dataTable value="#{bean.entries}" var="entry"> <h:column> <f:facet name="header"> <h:outputText value="UserId" /> </f:facet> <h:outputText value="#{entry.key}" /> </h:column> <h:column> <f:facet name="header"> <h:outputText value="#{entry.value}" /> </f:facet> <h:outputText value="#{entry.value}" /> </h:column> I've understand that maybe I'm doing it wrong, because

问题 The following code d1 = data.frame(y=1:2,group=factor(c('A','B'), levels=c('A','B','C')), fac = 'f1') d2 = data.frame(y=1:3,group=factor(c('A','B','C'), levels=c('A','B','C')), fac = 'f2') d = rbind(d1,d2) library(ggplot2) ggplot( d, aes(x=group, y=y) ) + geom_point(size=3) + facet_grid( ~ fac) Results in the following plot. How can I remove the unused factor level C from the facet 'f1'? 回答1: Setting scales = free in facet grid will do the trick: facet_grid( ~ fac, scales = "free") 来源： https:

问题 I am plotting multiple graphs using facet_wrap() from the ggplot2 package in R . When facetting by multiple variables, the result includes both labels in the strip text. How can I remove one? In this toy example from the mpg dataset, how to keep the cyl labels only? Thanks ggplot(mpg, aes(displ, hwy)) + geom_point() + facet_wrap(c("cyl", "drv")) 回答1: The biggest concern with this is as @aelwan mentioned several plots will have the same strip labels but are not the same. Ignoring this issue, I