jitter

Pie charts in geom_scatterpie overlapping

自闭症网瘾萝莉.ら 提交于 2021-01-29 20:12:17
问题 I would like to find a way to keep pie charts in scatterpie from overlapping with one another. I know that I can further reduce the radius, but don't want to make them any smaller than they already are. Position=jitter does not work well at all. Here is a reproducible example: library(ggplot2) library(ggmap) library(scatterpie) data=data.frame(lat=c(52,52,51.5),long=c(4.1,5.5,6),radius=c(5,10,13),A=c(0.2,0.2,0.2),B=c(0.8,0.8,0.8)) map=get_map(location=c(3,50,7,54),source="google") ggmap(map)

C#/Unity Camera Follow Jitter due to Time.deltaTime

纵饮孤独 提交于 2021-01-29 06:32:09
问题 Game: In a simple 2D Portrait Game made in Unity, I have a GameObject (Player) that has a fixed location and which is moving upwards. The Camera follows the Player and animated Obstacles are spawning from time to time moving left to right. The attached Screenshot shows the Scene. The Problem: The Movement is not smooth, as it seems like the Player is jittering. I think I already identified one of the causes: Big variation of Time.deltaTime. Average value is 0.0167, but I had variations.

apply jittering to outliers data in a boxplot with ggplot2

末鹿安然 提交于 2020-08-22 04:44:29
问题 do you have any idea of how to apply jittering just to the outliers data of a boxplot? This is the code: ggplot(data = a, aes(x = "", y = a$V8)) + geom_boxplot(outlier.size = 0.5)+ geom_point(data=a, aes(x="", y=a$V8[54]), colour="red", size=3) + theme_bw()+ coord_flip() thank you!! 回答1: Added a vector to your data set to indicate which points are and are not outliers. Then, Set the geom_boxplot to not plot any outliers and use a geom_point to plot the outliers explicity. I will use the

Geom_jitter colour based on values

主宰稳场 提交于 2020-01-24 13:59:31
问题 Is there a way to color the jitter points on a boxplot based on a numeric value, so for example: ggplot(data, aes(y = y_var, x = x_var)) + geom_jitter(size = 2, aes(color = ifelse(y_var < 5, "red", "black))) I've added this reproducible example that doesn't quite work (the colors on the plot don't correspond to the jitter call): a <- rnorm(100, mean = 5, sd = 1) b <- as.factor(sample(0:1, 100, replace = TRUE)) test_data <- data.frame(cbind(a,b)) test_data$b <- as.factor(test_data$b) ggplot

Lable specific points of geom_jitter() by using ggplot2

霸气de小男生 提交于 2020-01-07 03:50:51
问题 when using this code: t1 <- ggplot(mtcars, aes(x=as.factor(cyl),y=mpg)) t2 <- geom_boxplot(outlier.shape=NA) t3 <- geom_jitter(width=0.3, size=1.5, aes(color = disp)) t4 <- scale_colour_gradient(low="blue",high="red") t5 <- geom_text(aes(label=ifelse(mpg > 30,as.character(mpg),''))) t1 + t2 + t3 + t4 + t5 I get a boxplot in combination with jitter points. I am also able to label the points of interest, however: the labeling is not next to the specific point, but rather in the vertical middle

Keep points above zero in geom_jitter

廉价感情. 提交于 2020-01-03 05:17:11
问题 I'm working on a scatterplot using geom_jitter but want to set limits on the y axis (min value = 0). Is there a way to allow the points to "jitter" per usual but to tell them not to drop below y=0? 回答1: Don't censor the out of bounds ( oob ) points (which is the default), but instead squish to your scale, like so: test <- data.frame(x = mtcars$mpg, y = 0) ggplot(test, aes(x, y)) + geom_jitter() + scale_y_continuous(limits = c(0, 0.4), oob = scales::squish) 来源: https://stackoverflow.com

ggplot geom_point position_jitterdodge not working when color specified?

Deadly 提交于 2019-12-24 10:59:55
问题 I have plotted a boxplot+points. I want to add colors to the points. The position_jitterdodge worked fine without color as shown in Figure B, the points are close, which is I intended to do. But when I try to add colors to the points, the jitter.width parameter doesn't work any more (Figure A). The points are too far apart. I tried different numbers for jitter.width , not working. How do I solve this problem? library(tidyverse) library(ggpubr) mtcars$cyl <- factor(mtcars$cyl) p1 <- mtcars %>%

Add jitter to box plot using markers in plotly

余生长醉 提交于 2019-12-24 03:06:22
问题 I made a boxplot: dat %>% plot_ly(y = ~xval, color = ~get(col), type = "box", boxpoints = "all", jitter = 0.7, pointpos = 0, marker = list(size = 3), source = shiny_source, key = shiny_key, hoverinfo = 'text', text = txt) but problem is that jittered points are not interactive and cannot be marked separately, so I came with an idea to add those points using add_markers : dat %>% plot_ly(y = ~xval, color = ~get(col), type = "box", boxpoints = FALSE, jitter = 0.7, pointpos = 0, marker = list

Jitter logic to remove unbox_any

妖精的绣舞 提交于 2019-12-23 09:50:01
问题 I'm investigating the execution of this C# code: public static void Test<T>(object o) where T : class { T t = o as T; } The equivalent IL code is: .method public static void Test<class T>(object A_0) cil managed { // Code size 13 (0xd) .maxstack 1 .locals init (!!T V_0) IL_0000: ldarg.0 IL_0001: isinst !!T IL_0006: unbox.any !!T IL_000b: stloc.0 IL_000c: ret } // end of method DemoType::Test Based on this answer (unnecessary unbox_any), can anyone explain to me what the exact logic the Jitter