facet-wrap

问题 I am trying to write a code by using dplyr and a yeast dataset I Read in the data with this code gdat <- read_csv(file = "brauer2007_tidy1.csv") I ommitted na's by using this gdat <- na.omit(gdat) library(ggplot2) Then I tried to filter some genes according to their column name "symbol" and used ggplot to make a plot filter(gdat, symbol=="QRI7", symbol== "CFT2", symbol== "RIB2", symbol=="EDC3", symbol=="VPS5", symbol=="AMN1" & rate=.05) %>% ggplot(aes(x=rate, y=expression, group=1, colour

问题 I have the following code that produce a ggplot that has text (i.e., "calibration") on both facets . I want the text be appeared on the first facet only. I tried a few things but didn't succeed. Any help would be appreciated. library(ggplot2) library(lubridate) set.seed(123) DF1 <- data.frame(Date = seq(as.Date("2001-01-01"), to = as.Date("2005-12-31"), by = "1 month"), Ob = runif(60,1,5), L95 =runif(60, 0,4), U95 = runif(60,2,7), Sim = runif(60,1,5), Loc = rep("Upstream", 60)) DF2 <- data

问题 I have the following code that produce a ggplot that has text (i.e., "calibration") on both facets . I want the text be appeared on the first facet only. I tried a few things but didn't succeed. Any help would be appreciated. library(ggplot2) library(lubridate) set.seed(123) DF1 <- data.frame(Date = seq(as.Date("2001-01-01"), to = as.Date("2005-12-31"), by = "1 month"), Ob = runif(60,1,5), L95 =runif(60, 0,4), U95 = runif(60,2,7), Sim = runif(60,1,5), Loc = rep("Upstream", 60)) DF2 <- data

问题 I have the following code that produce a ggplot that has text (i.e., "calibration") on both facets . I want the text be appeared on the first facet only. I tried a few things but didn't succeed. Any help would be appreciated. library(ggplot2) library(lubridate) set.seed(123) DF1 <- data.frame(Date = seq(as.Date("2001-01-01"), to = as.Date("2005-12-31"), by = "1 month"), Ob = runif(60,1,5), L95 =runif(60, 0,4), U95 = runif(60,2,7), Sim = runif(60,1,5), Loc = rep("Upstream", 60)) DF2 <- data

问题 I have the following code that produce a ggplot that has text (i.e., "calibration") on both facets . I want the text be appeared on the first facet only. I tried a few things but didn't succeed. Any help would be appreciated. library(ggplot2) library(lubridate) set.seed(123) DF1 <- data.frame(Date = seq(as.Date("2001-01-01"), to = as.Date("2005-12-31"), by = "1 month"), Ob = runif(60,1,5), L95 =runif(60, 0,4), U95 = runif(60,2,7), Sim = runif(60,1,5), Loc = rep("Upstream", 60)) DF2 <- data

问题 This question already has answers here : Force the origin to start at 0 (3 answers) Closed 5 years ago . I'm using the following code: x_breaks <- seq(as.Date("2010/1/1"), as.Date("2015/4/1"), "months") x_labels <- as.character(x_breaks, format="%b%y") thousand_formatter<-function(x){ return(as.integer(x)) } vLines <- data.frame('Date'=as.Date('2014/1/1')) vLines <- rbind(vLines,vLines) vLines$Date[1] <- as.Date('2013/3/4') vLines$Date[2] <- as.Date('2014/6/2') vLines$grp <- c('Complex Cases

来源： https://stackoverflow.com/questions/53641489/r-shiny-issue-with-facet-wrap-in-ggplot

来源： https://stackoverflow.com/questions/53641489/r-shiny-issue-with-facet-wrap-in-ggplot

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 I want to put black borders with labels and titles around each facet in facet_wrap . Something similar to this: Sample data: library(tidyverse) mtcars %>% mutate(gear = factor(gear, levels = c(4, 3, 5))) %>% ggplot(aes(mpg, disp)) + geom_point() + geom_smooth(method = "lm") + facet_wrap(~am + gear) 回答1: You can do this by manually adding to the ggplot gtable : library(tidyverse) library(grid) library(gtable) p <- mtcars %>% mutate(gear = factor(gear, levels = c(4, 3, 5))) %>% ggplot(aes(mpg,