ggpmisc

问题 I adjusted different models considering the response variable (massaseca) as a function of (tempo) for each treatment level (teor) using the ggplot2 function combined with the stat_poly_eq function. However, as can be seen in the graph below, the legends of the estimated lines are overlapping. I would like these to be stacked in the left corner. When using the stat_regline_equation function (label.y = 380, label.x = 1000) it is possible to move the legend, however, they are still superimposed

问题 I have a ggplot object. I would like to add some text with annotate() , and I would like to specify the coordinates of the text in npc units. Is this possible? This minimal example demonstrates how text is ordinarily positioned with annotate() : library(ggplot2) p <- ggplot(mtcars, aes(mpg, wt)) + geom_point() p + annotate("text", x = 30, y = 4.5, label = "hello") I would like to achieve the same effect, but instead of specifying x and y in native coordinates, I would like to specify them

问题 I have a ggplot object. I would like to add some text with annotate() , and I would like to specify the coordinates of the text in npc units. Is this possible? This minimal example demonstrates how text is ordinarily positioned with annotate() : library(ggplot2) p <- ggplot(mtcars, aes(mpg, wt)) + geom_point() p + annotate("text", x = 30, y = 4.5, label = "hello") I would like to achieve the same effect, but instead of specifying x and y in native coordinates, I would like to specify them

来源： https://stackoverflow.com/questions/58373454/how-to-display-different-y-labels-in-the-equations-using-stat-poly-eq-of-ggpmisc

问题 I have xy grouped data that I'm plotting using R 's ggplot2 geom_violin adding regression trend lines: Here are the data: library(dplyr) library(plotly) library(ggplot2) set.seed(1) df <- data.frame(value = c(rnorm(500,8,1),rnorm(600,6,1.5),rnorm(400,4,0.5),rnorm(500,2,2),rnorm(400,4,1),rnorm(600,7,0.5),rnorm(500,3,1),rnorm(500,3,1),rnorm(500,3,1)), age = c(rep("d3",500),rep("d8",600),rep("d24",400),rep("d3",500),rep("d8",400),rep("d24",600),rep("d3",500),rep("d8",500),rep("d24",500)), group

问题 I have xy grouped data that I'm plotting using R 's ggplot2 geom_violin adding regression trend lines: Here are the data: library(dplyr) library(plotly) library(ggplot2) set.seed(1) df <- data.frame(value = c(rnorm(500,8,1),rnorm(600,6,1.5),rnorm(400,4,0.5),rnorm(500,2,2),rnorm(400,4,1),rnorm(600,7,0.5),rnorm(500,3,1),rnorm(500,3,1),rnorm(500,3,1)), age = c(rep("d3",500),rep("d8",600),rep("d24",400),rep("d3",500),rep("d8",400),rep("d24",600),rep("d3",500),rep("d8",500),rep("d24",500)), group

问题 I have xy grouped data that I'm plotting using R 's ggplot2 geom_violin adding regression trend lines: Here are the data: library(dplyr) library(plotly) library(ggplot2) set.seed(1) df <- data.frame(value = c(rnorm(500,8,1),rnorm(600,6,1.5),rnorm(400,4,0.5),rnorm(500,2,2),rnorm(400,4,1),rnorm(600,7,0.5),rnorm(500,3,1),rnorm(500,3,1),rnorm(500,3,1)), age = c(rep("d3",500),rep("d8",600),rep("d24",400),rep("d3",500),rep("d8",400),rep("d24",600),rep("d3",500),rep("d8",500),rep("d24",500)), group

问题 The bounty expires in 4 days . Answers to this question are eligible for a +50 reputation bounty. Apatura is looking for a more detailed answer to this question: I think I have a fundamental problem in combining facets, inlays and the correct colour scale. Please help to solve the colour issue inside the current partial solution, or if this isn't feasible, maybe another option. I think this is a useful graphic for many different situations. I would like to produce a graphic combining four

问题 I would like to label my plot, possibly using the equation method from ggpmisc to give an informative label that links to the colour and equation (then I can remove the legend altogether). For example, in the plot below, I would ideally have the factor levels of 4, 6 and 8 in the equation LHS. library(tidyverse) library(ggpmisc) df_mtcars <- mtcars %>% mutate(factor_cyl = as.factor(cyl)) p <- ggplot(df_mtcars, aes(x = wt, y = mpg, group = factor_cyl, colour= factor_cyl))+ geom_smooth(method=

问题 What is the best (easiest) approach to add neatly to a ggplot plot the regression equation, the R2, and the p-value (for the equation)? Ideally it should be compatible with groups and faceting. This first plot with has the regression equation plus the r2 and p-value by group using ggpubr , but they are not aligned? Am I missing something? Could they be included as one string? library(ggplot) library(ggpubr) ggplot(mtcars, aes(x = wt, y = mpg, group = cyl))+ geom_smooth(method="lm")+ geom