Error discrete value supplied to continuous scale

Error: Discrete value supplied to continuous scale. I don't know why I see this error. If I still want colored scatter plot but no polygons, I run the following code it works again. script 3: ggplot (data=merged,aes (x = pauseMedian, y = numTotalPauses, color = diff)) + geom_point ()Jun 30, 2017 · 2 Answers. There are indeed a number of issues with your code. Besides the wrong abbreviation of distance, the calculated delay values aren't saved anywhere. mutate () returns a tibble which must be assigned to a variable or piped. Fixing these issues but neglecting count for a second, the code below. I have a dataset called "alldata", which contains 1000 rows and 2 columns named "day_of_Week" and "label". The dataset look like this : day_of_Week label 5 ...Error: Discrete value supplied to continuous scale; ggplot2 polygon -> Error: Discrete value supplied to continuous scale; geom_ribbon() Error: Discrete value supplied to continuous scale (ggplot2) R-shiny: Discrete value supplied to continuous scale; Plotting with ggplot2: "Error: Discrete value supplied to continuous scale" on categorical y-axis1 Answer. It's best to think of coord_flip as a visual transformation that gets applied right at the end of the whole plot building process. So prop is your y variable, you apply scale_y_continuous to it, and then only right at the end does coord_flip get applied and prop moves to the x-axis. The fix is just to use scale_y instead of scale_x:Jun 15, 2021 · Error: Discrete value supplied to continuous scale for a numeric variable 0 Error: Discrete value supplied to continuous scale problem Error: Discrete value supplied to continuous scale. I also tried to supply the colors manually, but failed. Additionally I tried many answers here in the forum but didn't succeed. When I dput the data I get following information:Jun 15, 2021 · Error: Discrete value supplied to continuous scale for a numeric variable 0 Error: Discrete value supplied to continuous scale problem Error: Continuous value supplied to discrete scale I have localized the problem to geom_point as geom_line and geom_ribbon work just fine. Here is the code I am currently using以下のプロットコードで Error: Discrete value supplied to continuous scale. このコードのどこが問題なのでしょうか？スケールを変更するまでは問題なく動作しているので、エラーが出ています...。似たような問題から解決策を考えようとしましたが、できませんでした。Fehler: Discrete value supplied to continuous scale When, on the other hand, I first execute. ... Error: Discrete value supplied to continuous scale ggmap. 0Feb 6, 2014 · After getting Error: Discrete value supplied to continuous scale messages with ggplot and geom_vline() I did some experimenting and found the following surprise. Here's a reproducible example that starts with some data: feliz dia de la madre

This article explains how to handle the ggplot2 error “Discrete value supplied to continuous scale” in the R programming language. Table of contents: 1) Example Data, Add-On Packages & Default Graph. 2) Example 1: Reproduce the Error: Discrete value supplied to continuous scale.X軸の並び替えをするためにscale_x_discreteでX軸の並び替えをします。scale_x_discreteはX軸が連続値（e.g., 1, 2, 3, etc.,）ではなく離散値（e.g., A，B，C，etc.）の場合に値を設定するときに使います。今回はX軸を反転させたいので，limit = c()でx6から順に値を設定します。Error: Continuous value supplied to discrete scale. ... How to fix 'continuous value supplied to discrete scale' in with scale_color_brewer. 2.In this article, I’ll show how to handle the “Error: Continuous value supplied to discrete scale” in the R programming language. The tutorial will consist of these topics: 1) Exemplifying Data, Packages & Default Graph. 2) Example 1: Reproduce the ggplot2 Error: Continuous value supplied to discrete scale. 3) Example 2: Fix the ggplot2 ...Apr 22, 2017 · Error: Discrete value supplied to continuous scale 따라서 범주형 데이터로 히스토그램을 그리기 위해서는 다음과 같은 선행 작업을 해주어야 합니다. - 기존의 범주형 레벨을 저장하고 2. The problem is the geom_text line. Presumably you want to show each name at the corresponding point so put the x and y aes values in ggplot to share them with both geom_line and geom_text and then we can just specify the aesthetics specific to each. library (ggplot2) ggplot (df, aes (x = year, y = portion)) + geom_line (aes (group = name ...Error: Discrete value supplied to continuous scale". I noticed the selection of column name for this dataframe have to be included in a pair of backtick automatically in R. it may be due to the space or special name in the columns. so I can't simply use name of column in ggplot. r. dataframe. ggplot2. type-conversion.But when I run it in R, I get the following error: "Error: Continuous value supplied to discrete scale" Does anyone know what could be wrong with this code? Or why I am getting a different result than the example? If someone could run the sample code and tell me if they get the same error I would be very grateful.I'm getting Error: Discrete value supplied to continuous scale straight after labs ... Error: Discrete value supplied to continuous scale for a numeric variable.Error: Discrete value supplied to continuous scale for a numeric variable. 0. Error: Discrete value supplied to continuous scale problem. Hot Network QuestionsJul 31, 2018 · I am plotting points over a heat map produced in ggplot2. delta is a data frame containing points to be plotted over heat map. The variable plt stores the ggplot image. The heat map is produced by... unknown encoding

Error: Continuous value supplied to discrete scale. 4. ... Color in ggplot, continuous value supplied to discrete scale. Hot Network Questions Sums in a (very small ...The error: continuous value supplied to discrete scale pops up when the grouping variable isn’t provided as a factor. The issue is quite simple and can be solved with a slight change in the code. The issue is quite simple and can be solved with a slight change in the code.Error: Continuous value supplied to discrete scale 76 Plotting with ggplot2: "Error: Discrete value supplied to continuous scale" on categorical y-axisIf I substitute the inputs from the function with their actual value, I can get the plot. If I call the function with a specific command to export the plot in PPT, I get this error: "Error: Discrete value supplied to continuous scale" The inputs are the following ones:Feb 6, 2014 · After getting Error: Discrete value supplied to continuous scale messages with ggplot and geom_vline() I did some experimenting and found the following surprise. Here's a reproducible example that starts with some data: May 17, 2021 · MinTemp MaxTemp Date 8 24.3 2020-01-01 14 26.9 2020-01-02 13.7 23.4 2020-02-20 13.3 15.5 2020-12-31 New to R language. Above is a small part of the data... I'm getting Error: Discrete value supplied to continuous scale straight after labs ... Error: Discrete value supplied to continuous scale for a numeric variable.ggplot2: Error: Discrete value supplied to continuous scale 0 Discrete value supplied to continuous scale - Dataset does not have any factorsError: Continuous value supplied to discrete scale. ... How to fix 'continuous value supplied to discrete scale' in with scale_color_brewer. 2.May 13, 2013 · Note that value is a character because periodframe was a factor. I'm guessing what changed was that periodframe went from being a number to a character (the "Phase 1 (1965 to 1985)" bits). Since you are only plotting the pop_t and pop_ur and pop_ru columns, pull those out before melting Error: Discrete value supplied to continuous scale for a numeric variable Load 7 more related questions Show fewer related questions 0Error: Continuous value supplied to discrete scale NEW 3: While we are on it, I am wondering if there is a way to change the size of individuals/samples on the biplot(or even ind and var functions)? It's supposed to be controlled by geom_point/text functions in ggplot but here apparently its wrapped within var, ind, or biplot functions.You need to do cars <- cars %>% mutate() in order to save the modification:Error: Discrete value supplied to continuous scale. color_values : ... Error: Discrete value supplied to continuous scale for a numeric variable. 0. Error: Discrete ...what channel is the

Feb 6, 2014 · After getting Error: Discrete value supplied to continuous scale messages with ggplot and geom_vline() I did some experimenting and found the following surprise. Here's a reproducible example that starts with some data: 1 Answer. Replace x = "variable.name" with x = `variable.name`. The ggplot2 package (like other packages in tidyverse) use non-standard evaluation (NSE), so it usually accepts variable names in its functions without ". For variable names such as Boylam (E), which may be interpreted as functions, surround them with backticks ` instead.Viewed 652 times. Part of R Language Collective. 0. The plotting code below gives Error: Discrete value supplied to continuous scale. I already tried this solution mentioned by stack overflow community but none of them is working. I don't know what wrong with this code. Stack Overflow Solution 1. Stack Overflow Solution 2.Error: Discrete value supplied to continuous scale". I noticed the selection of column name for this dataframe have to be included in a pair of backtick automatically in R. it may be due to the space or special name in the columns. so I can't simply use name of column in ggplot. r. dataframe. ggplot2. type-conversion.Apr 12, 2017 · "Error: Continuous value supplied to discrete scale" Does anyone know what could be wrong with this code? Or why I am getting a different result than the example? If someone could run the sample code and tell me if they get the same error I would be very grateful. r ggplot2 colors scatter-plot scatter Share Improve this question Follow 並べ替え: 1. ggplot関数でbaseを作成する時に，size = Reg (これだとsizeにint型が入る)ためです。. なので，その一行をを以下のように修正すると，おそらくは望んでいるplotが描けるかと思います: base <- ggplot (Res, aes (x = h, y = w, size = as.factor (Reg), colour = as.factor (Reg ...Aug 12, 2021 · The easiest way to fix this error is to convert the y-axis variable to a numeric variable before creating the scatterplot: library(ggplot2) #convert y variable to numeric df$y <- as.numeric(df$y) #create scatterplot with custom y-axis scale ggplot (df, aes(x, y)) + geom_point () + scale_y_continuous (limits = c (0, 10)) I'm trying to do a map with ggplot and geom_scatterpie function but I'm keep receiving this error: "Error: Discrete value supplied to continuous scale" the code is the following: ggplot()...Error: Discrete value supplied to continuous scale. This error occurs when you attempt to apply a continuous scale to an axis in ggplot2, yet the variable on that axis is not numeric. This tutorial shares exactly how to fix this error.scale_fill_viridis(option="magma")+ 然后就花式报错. Error: Discrete value supplied to continuous scale 大概意思用一个连续型的色带给离散型变量上色。就很费解，不知道去哪找离散型的色带。 一开始尝试把fill的变量替换成连续型的，但是感觉并不好看。Viewed 652 times. Part of R Language Collective. 0. The plotting code below gives Error: Discrete value supplied to continuous scale. I already tried this solution mentioned by stack overflow community but none of them is working. I don't know what wrong with this code. Stack Overflow Solution 1. Stack Overflow Solution 2.The error: continuous value supplied to discrete scale pops up when the grouping variable isn’t provided as a factor. The issue is quite simple and can be solved with a slight change in the code. The issue is quite simple and can be solved with a slight change in the code.Error: Discrete value supplied to continuous scale I know this error has been extensively reported elsewhere, however, I can't find an adequate solution to my problem.Jul 31, 2018 · I am plotting points over a heat map produced in ggplot2. delta is a data frame containing points to be plotted over heat map. The variable plt stores the ggplot image. The heat map is produced by... Error: Continuous value supplied to discrete scale. 4. ... Color in ggplot, continuous value supplied to discrete scale. Hot Network Questions Sums in a (very small ...impossible quiz 2Aug 16, 2015 · Fix Error: Discrete value supplied to continuous scale in ggpubr::ggline Hot Network Questions In D&D 3.5, are there any spells that can do simple work? Fehler: Discrete value supplied to continuous scale When, on the other hand, I first execute. ... Error: Discrete value supplied to continuous scale ggmap. 0Fehler: Discrete value supplied to continuous scale When, on the other hand, I first execute. ... Error: Discrete value supplied to continuous scale ggmap. 0Jun 1, 2018 · And with the most recent version of ggplot2/viridis, there are now two types of scales: scale_*_viridis_c() and scale_*_viridis_d() Currently scale_*_scico() only works with continuous colors and the only way to get discrete colors is to generate a palette with scico(x) and use the hex values manually. Error: Discrete value supplied to continuous scale". I noticed the selection of column name for this dataframe have to be included in a pair of backtick automatically in R. it may be due to the space or special name in the columns. so I can't simply use name of column in ggplot. r. dataframe. ggplot2. type-conversion. Error: Discrete value supplied to continuous scale. This error occurs when you attempt to apply a continuous scale to an axis in ggplot2, yet the variable on that axis is not numeric. This tutorial shares exactly how to fix this error.Aug 12, 2021 · The easiest way to fix this error is to convert the y-axis variable to a numeric variable before creating the scatterplot: library(ggplot2) #convert y variable to numeric df$y <- as.numeric(df$y) #create scatterplot with custom y-axis scale ggplot (df, aes(x, y)) + geom_point () + scale_y_continuous (limits = c (0, 10)) May 16, 2012 · scale_y_continuous('Load') + scale_x_continuous() The test.csv file begins as a csv file where the first column specifies the date and time of the observation, and then each of the Aug 12, 2021 · The easiest way to fix this error is to convert the y-axis variable to a numeric variable before creating the scatterplot: library(ggplot2) #convert y variable to numeric df$y <- as.numeric(df$y) #create scatterplot with custom y-axis scale ggplot (df, aes(x, y)) + geom_point () + scale_y_continuous (limits = c (0, 10)) Feb 6, 2014 · After getting Error: Discrete value supplied to continuous scale messages with ggplot and geom_vline() I did some experimenting and found the following surprise. Here's a reproducible example that starts with some data: Sep 19, 2014 · Error: Discrete value supplied to continuous scale I don't know why I see this error. If I still want colored scatter plot but no polygons, I run the following code it works again. script 3: ggplot (data=merged,aes (x = pauseMedian, y = numTotalPauses, color = diff)) + geom_point () Error: Discrete value supplied to continuous scale for a numeric variable Load 7 more related questions Show fewer related questions 0You need to do cars <- cars %>% mutate() in order to save the modification:Error: Continuous value supplied to discrete scale and Warning messages: 1: In RColorBrewer::brewer.pal(n, pal) : n too large, allowed maximum for palette RdBu is 11 Returning the palette you asked for with that many colorspimp 2018

Viewed 652 times. Part of R Language Collective. 0. The plotting code below gives Error: Discrete value supplied to continuous scale. I already tried this solution mentioned by stack overflow community but none of them is working. I don't know what wrong with this code. Stack Overflow Solution 1. Stack Overflow Solution 2.I have a dataset called "alldata", which contains 1000 rows and 2 columns named "day_of_Week" and "label". The dataset look like this : day_of_Week label 5 ...1. As for what @jpsmith said- when you want great answers quickly, it's important to make your issue reproducible. That being said, it's pretty likely that that the values in the columns Role and Workers_Involvement are not interpreted as factors. You have to make sure the data types are correct before this will work. – Kat.Error: Discrete value supplied to continuous scale; ggplot2 polygon -> Error: Discrete value supplied to continuous scale; geom_ribbon() Error: Discrete value supplied to continuous scale (ggplot2) R-shiny: Discrete value supplied to continuous scale; Plotting with ggplot2: "Error: Discrete value supplied to continuous scale" on categorical y-axisMay 19, 2017 · 6. Switch around the order, and bring the data and main aesthetics into your ggplot call. You are basically writing this: p1 <- ggplot () + annotate (geom = "rect", ymin = -Inf , ymax = 10, xmax = 0, xmin = Inf, alpha = .1) At this point, p1 has a continuous x axis, since you provided numbers here. 3. I am trying to draw couple of countries and fill them with color based on certain variable, and I've achieved it for one country, however when I try to multiply counties I keep on getting Error: Discrete value supplied to continuous scale although the code is basically the same, so here is the nonworking code and its dataset.Error: Discrete value supplied to continuous scale for a numeric variable Load 7 more related questions Show fewer related questions 0Jan 21, 2022 · Viewed 652 times. Part of R Language Collective. 0. The plotting code below gives Error: Discrete value supplied to continuous scale. I already tried this solution mentioned by stack overflow community but none of them is working. I don't know what wrong with this code. Stack Overflow Solution 1. Stack Overflow Solution 2. Apr 12, 2017 · "Error: Continuous value supplied to discrete scale" Does anyone know what could be wrong with this code? Or why I am getting a different result than the example? If someone could run the sample code and tell me if they get the same error I would be very grateful. r ggplot2 colors scatter-plot scatter Share Improve this question Follow lemur madagascar movie

以下のプロットコードで Error: Discrete value supplied to continuous scale. このコードのどこが問題なのでしょうか？スケールを変更するまでは問題なく動作しているので、エラーが出ています...。似たような問題から解決策を考えようとしましたが、できませんでした。How to Fix in R: Don’t know how to automatically pick scale for object of type functionError: Discrete value supplied to continuous scale for a numeric variable 0 Error: Discrete value supplied to continuous scale problemMar 11, 2015 · Error: Discrete value supplied to continuous scale for a numeric variable. 0. Error: Discrete value supplied to continuous scale problem. Hot Network Questions 1. This question was recently answered on github and turns out to be a bug stemming from how plotnine interfaces with numpy. You can avoid the problem with: ... + scale_size_manual (values= (3,3,3,3), na_value=-1) Share. Improve this answer.