Ggplot label ifelse If the value reaches a certain It is similar to ifelse but with some problems fixed. I t I would like to ask how to handle multiple if, else statments in R shiny, When I try writting simple scripts that would plot distribution based on selection for some reason the third one is not wo Your description of what is not working, aka it doesn't seem to work is rather vague. If the salary is high, it should be shown below the top of the bar (like it is already with geom_text(aes(label=text), vjust=-0. frame(Gelen = c(677042, 577457, 466333, I have a dataframe called df_plot, I am trying to create a dumbbell plot sorted by a column (medium age 2020), with the axis assigned a color based on another category). Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company In the following example I want to make use of conditional labeling. code (still learning so might not be most efficient code!): income &lt;- readr:: I want to control my font colour using explicitly named colours in the label_col column. set hjust to right or left align your labels; add some space between the bars and the labels R stacked percentage bar plot with percentage of binary factor and labels (with ggplot) My problem is that I can't place labels where I want - in the middle of the bars. ifelse would try to evaluate geom ggplot(somedata, aes(x, y)) + geom_point(size = 3) + geom_text(aes(label=Label), size=3, vjust=1. It's large and clunky, but effective. &gt; head(tab I want to highlight individual axis labels in bold. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company You can try the following: Assign a blank label ("") to all the other points from the original data, so that geom_text_repel takes them into consideration when repelling labels from one another;Increase the box. I assume you have the data in the long format. ifelse is specially made for vectors, it will always try to return a vector of the same length as the test vector. 17. So short of locking the aspect ratio with coord_fixed(ratio=1) there is no way I can easily find to predict where the midpoint of a geom_curve() segment will be. To clarify, if a species has frequency > 0. However, in case of your bar chart I would suggest to go with default geom_text like so:. there must surely be another way of removing trailing zeros in y axis tick labels than specifiying each label indivdiually with labels=c("0",). I tried increasing no. Add color to text in geom_text based on condition. I want to set that if the percentage is less than 1%, the label will be &quot;&lt;1%&quot;. # h Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I am trying to create a volcano plot using R to show differentially expressed genes. The x-axis label should not show decimals for 1,5 and 10. param1 ranges Having the labels on the end of the segments might distort the visual mapping of segment length and location to year-range. I am trying to add count labels next to each bar in this graph, but the numbers are not placed in the right spot: Here is my data (a subset of a Rotating the plot by 90 degrees is another way to deal with long axis labels. Though you have reshaped it in the beginning of the question's code, you plot it as if it were not. 0. Simplified code example in the following and its output in Fig. I would recommend reading this blog post on the principle of proportional ink. Just tweak it until it's correct. I have alse created a simple variable to emphasize the Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; You can use tidyr::complete to complete missing factor levels (in your case the missing level in MAKE == "Tata"). Let me explain, with your example, you can modify the display of the p. text. Really strange thing going on, where if I try to assign the colour of the axis label based on a condition being met, the plot returned has axis labels coloured that do not match the criteria. colour="green", label=Name))+ geom_point() + geom_text(aes(label=ifelse(value_of_V[i]>24,as. Give them a try. I would like to remove the labels &quot;0%&quot; on the plot. For the labels we could use the ggnewscale package which allows for multiple scales for the same aesthetic. The reason your Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I've come to a solution for this problem. e. Best I could come with was by setting adj = c(0, 0) and ´y = ylim[1] + mm_y(10)` inside circos. The triangles can Other interesting scales provided by scales are label_bytes, label_date, label_date_short, label_math, label_percent, label_pvalue or label_scientific, among others. Possibly use two geom_texts to output the label and value. Length, Sepal. Depending on which argument you use to pass the data and your specific This SO solution (credit to @Paul for finding) seems close enough to what I'm asking. , geom_barh). When I try to do this using the following snippet, the correct points are selected/labelled, but with a Both facet_wrap and facet_grid also accept input from ifelse as an argument. . I tried using gghighlight, but my basic knowledge of ifelse statements leads to no solution Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I am trying to add labels to my volcano plot however, some of the labels do not appear on the VP while some do. I have given ranges for this too. I'm not totally sure, but I will guess that the output of p value for stat_compare_means is different from compare_means and so, you can't use it for the aes of label. I thought the label function in ggplot's aesthetics would do this for me, but it didn't. You can see the problem in the picture above - labels looks awfull and also overlap each other. tdy, aes(x=pas, y=perf))+ geom_col(aes(fill = fill_col), #stat ="count", width = barwidth) + geom_text(aes(label=paste(perf, "%")), vjust=1. I am making a plot where the pvalues are plotted as text using geom_text. All these levels have the same unit (concentration mg L-1) but they have different ranges of values. Potential Functions/Packages: I'm aware of the geom_text() function and directlabels packag Following guides like ggplot Donut chart I am trying to draw small gauges, doughnuts with a label in the middle, with the intention to put them later on on a map. We can use the continuous_scale() function from ggplot2. 5) + geom_text(aes(label=Bold), size=3, vjust=1. The order of the labels goes in the Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; I am trying to create a bar plot in R using ggplot, displaying the year a document was published as an x-variable and a mean_sentiment score of that document on the y-axis. I also tried text() Instead of using the ifelse as in the above example, one can also prefilter Set Plot Limits and Allow bar to extend beyond. My code for plotting the graph is: I'm trying to make axis labels bold if they contain specific text. With ggplot2, you would add + coord_flip() to rotate the plot. You could either wrap that in as. – Nícolas Pinto. But how do you efficiently reference and format each label when you have a larger dataset and each value in that dataset is not represented by its own value (which The ifelse statement used in element_text() does not result in correct color formating, however. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I have hospital data which I am trying to visualize perfomance of each variable. I want to add a red colour to my text (FDR) if the value is < 5e-02. Doing so we could add a second fill scale: I have two datsets in my diagram, "y1" and "baseline". THis is the data: &gt; dput(dat. What I am looking for right now is: How to place labels in the midde of the bars This could be achieved like so: Instead of making use of position="fill" I compute the percentages manually via group_by + mutate; The labels could then be easily added via a geom_text where you can use an ifelse to display only labels with a desired minimum frequency or proportion. )) + geom_bar(aes(fill = V1), position = "dodge") I can make the plot clearer by reordering the levels of the Location variable: The best option I've come up with so far is to color the row labels. In addition, you need to suppress the legend, and, for geom_text, select Capex for 2014, and increase the margin to give room for I think your issue came from the stat_compare_means and the use of comparisons. Second, you are creating a vector of colors based on a column from your data which is not in related to the number and combinations of facets. padding parameter from the default 0. I am trying to label the top 10 most significantly different genes using ggrepel with the gene_names from a the original dataframe ('dat'). have the labels for one group appear above the data point, and labels for My method is slightly less efficient than the other answer but still gets the job done. ; Making use of some random example data try this: I have created some nice pie charts but am having difficulty adding % labels to the pie charts. 1"),"d",format(round(value*100,1),nsmall=1))),size=3)#####sorry about lack of linebreaks, Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company In the above code, I want to see decimals for breaks below 1 but no decimals on higher values. Then I created a new data frame with the coordinates of the labels: df_2 <- data. However, if you are looking to do more advanced styling it is often required to create the data before you build the plot. Here is an example that add a horizontal line depending on if Swtich is T or F. na(V1)) %>% ggplot(aes(Location, . I also don't want the geom_label_repel, since it has the labels stick out and move across the 45 degree line I included (which I don't want to happen) The reason is fairly simple as what is created by ifelse does not match the order on the axis. Here is my minimal example with black and white: Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company It is a follow-up question. Which works almost fine except for homo sapiens which still gets shifted to the "right". It dynamically changes the size of geom_text() to fit bar width, and is working even when resizing the plot. 4 at any given date, you want to have one label for that entire species to signify it had a frequency > 0. First, where the condition is TRUE. Input data is a tab delimited text file: TIMEFRAME POPULATION AMOUNT I am trying to create a large set of diverging bar charts (like those found here) in R using ggplot2. I have a number of graphs plotted in a grid and t Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I'm sure people will happily tell you how to hack ggplot2 so you can have bars start at an arbitrary y value. I want to facilitate this on the fly. Any of the two will remove the labels of one line, NA's will issue a warning. I used info from this post to try an ifelse statement to color based on the bin_level variable. geom_text(aes(label=df[,c("name")]))) The problem is, however, that I aim to label only the "outstanding" dots, which happen to be those that have a mycount higher that say 500. Here is my full code @Stefan You might want to ask a new question with a reproducible example that says how your case is different. When I run the code given below, I get a plot with two R2 and p-value but p-value = 0. First, in the data, CZE is mutated to add the <b></b> tags. 5, fontface = 'bold') This If you take a look at the column country, you'll see it is a Factor. If the salary is low, the text should be shown above the top of the bar. Here's both options: The first step is to define the sample data. frame used for the chart the row with the Valiant value is 31. I am doing the #duboischallenge and am on challenge 5. Here are two options, the first using geom_text and the second using ggrepel::geom_label_repel. I also don't want the geom_label_repel, since it has the labels stick out and move across the 45 degree line I included (which I don't want to happen) I want the text labels on the stacked bar chart to be interactive so the bar chart doesn't flicker as you move the mouse over the text. So I think this provides basis to what I'm after, just instead of tweaking size I need to tweak vjust, and instead of conditioning it on bar width I need to condition it on bar height. I have not got any satisfactory response to that one although I thought it would be possible in ggplot. Use the plot title and subtitle to explain the main findings. 1) If you want the labels just to be To use Baptiste's idea, you need to turn off clipping. One solution that you could pursue is to plot bars that Updated to match OP's required output and long names. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Color-code and label ggplot graph line based on a condition in R. I'm trying to do this to a plot that's the output of a function that also manipulates the my data, so there's no longer a direct Format specific axis labels in ggplot2 To avoid creating the position values yourself, you can use position = "stack" in geom_text as in this question. I am aware of this answer by @MrFlick but I can't figure out how to do this a) for more than one item, and b) whether it's possible to use the names of the labels instead of the number of the item in that list (or expression). Always ensure the axis and legend labels display the full variable name. Below is a small data frame in R and some code to get a nice pretty barplot of what I want. Labeling outliers by their numerical values (i. Edit (start) I am also aware of this answer but it colors the labels based on a fill When I assign the points in my ggplot scatterplot a label like this, it works perfectly. Colouring specific label in ggplot depending on the value of the id variable on a long data (irrespectively of the row number) Related. It's common to use the caption to provide information about the data source. As you noted in the comments, the dataset must be ordered by the fill variable to get the stacks in the correct To use Baptiste's idea, you need to turn off clipping. Commented Aug 3, I have an excel file with data about the genders of different people. The biggest problems here are. The answers I've seen in SO about conditional color in ggplot2 suggest to manually indicate colors using scale_fill_manual or scale_color_manual here and here. Additionally I simplified your code a little. Stack Overflow. The ggstance package also has geoms for horizontal plots (e. However, now knowing the syntax, I was able to make it work as such:##### geom_text(data=subset(MELTEDL3, value != 0),aes(fill=value,label=ifelse((round(value*100,1) < "0. I am using ggplot to plot a barplot of that data. g. I'm trying to figure out two problems in R ggplot: Show only data labels for every N day/data point Highlight (make the line bigger and/or dotted) for a specific variable My code is below: gplo Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; Adding a legend If you want to add a legend to a ggplot2 chart you will need to pass a categorical (or numerical) variable to color, fill, shape or alpha inside aes. Width, linetype = Species)) + Here is an example of how to create multi-level axis labels in an R plot using ggplot2. In the figure, is it possible to jitter the state abbreviation labels a bit so they don't overlap? If I use check_overlap = TRUE, then it removes some observations that overlap, and I don't want that. Have rearranged x and y subjects from original so that we can avoid coord_flip and read the graph as is, rather than transpose x and y. 33)+ geom_text(aes(label=ifelse(player=="player_a",paste0(100*fg_perc,"%")," "))) EDIT If you want to wrap the code in a function, you can use try the following, where you use aes_string inside geom_text to be able to pass the column name as a string. You can see the exact values of each variable below. df) with ggplot (t9) and try to label my data points. of digits to 20 ( To do this you could use ifelse to create the vector of labels: data %>% ggplot(aes(x = a, y = b, label = ifelse(pro == 10, Countries, ''))) + geom_point() + geom_text(hjust = 0, nudge_x = 0. With geom_label_repel you can use the nudge_x and nudge_y arguments as well as change max_overlaps to something higher than 10. This is essentially a duplicate to Adding minor tick marks to the x axis in ggplot2 (with no labels) You can use the ggh4x package. First post so please forgive any transgressions. To make the scatter plots clearer, I would like to be able to label the outliers, automatically. It is possibly due to very small p-value. The updated (and working) example of my original code is below: How to customize ggplot2 axis labels with different colors when values are continuous. frame( var1 = rep(c("Newly infected","Mortality","TDR level"),each=3), I am plotting my PCA data (= pca. I also would recommend performing any data manipulation such as generating labels prior to plotting. My solution so far just gives me the ext The inbuilt functions geom_histogram and stat_bin are perfect for quickly building plots in ggplot. Repel labels from data points with different sizes. However, it seems that the colours "black" and "white" end up being ordered alphabetically by the colour name, instead of following the same fill and position specified in ggplot(aes()) and geom_col(). by changing subject to variable1 @JohnThomas geom_text and geom_label are pretty much identical. Use the geom_text, geom_label, geom_text_repel, geom_label_repel and geom_richtext functions to add texts to your ggplot2 graphics library(ggplot2) x <- 1:10 ggplot() + geom_segment( aes(0, x, xend = x), col = ifelse(x < 5, 'blue', 'yellow'), linewidth = 5) Created on 2024-05-26 with reprex v2. So if the variable used for faceting is logical, the solution is very simple: facet_wrap(~ifelse(variable, "Label if true", "Label if false")) If the variable has more categories, the You can create labels with geom_text or geom_label. labels basically asks like a list so you can use any of the functions you use to iterate over lists. To hide labels that don't fit on the small bars, I am using l I am trying to use ggplot in R shiny. If choose 1 variable then plot chart of 1 variable (ex density plot), if choose 2 variable then plot chart of 2 variables (ex scatter plot). ): I would suggest to ask the package author for a possible solution. – user5514978. You could put the labels in the middle of the segments instead. geom_point() Now, the When you use the "ifelse", it reduces the column to just the "levels". Unlike scale_y_continuous, this lets data expand beyond the plot limits. You can use coord_cartesian to set the limits of the plot. frame(newX, newY) and plot using the new df in geom_label: p <- ggplot(df, aes(x, y)) + geom_point() + geom_label(data = df_2, aes(x = newX, y = newY, label = labels)) + theme_void() p Which results in: Thanks a lot. I want to pass another flag to the function so that I can choose while calling the function that whether to plot lines or points. 2 I'm using ggplot to write a bunch of plots inside a function. I created a dataset with two numerical variables, x and y, and one categorical variable called category. With over 500 data points right next to each other, the labeling gets messy if I label every single one of them, so I want to label just every 10th or 15th data point. I was able to do it fine for a variable that comprised simple integers, but for a variable that needs to be formatted as dollar with the thousands separator, I can't seem to get rid of the "NA" label. 7, hjust=0. character(Name),'')),hjust=0,vjust=0) What I I have a chart where I am charting some very large numbers, in the millions. In addition, you need to suppress the legend, and, for geom_text, select Capex for 2014, and increase the margin to give room for I have a data. vs &lt;- data. I'm trying to plot a labeled barplot with ggplot2 with positive and negative bars. Label I would like to create a chart with ggplot2 using a conditional color so that if the data point respect a condition on another column it will be "green", otherwise, it will follow a predefined color palette. trying to establish individual bar data labels ONLY if the value is negative. But there are two issues. count. If you want value labels, you could place them below zero so that the labels don't interfere with the visual mapping of bar height to magnitude. csv. When you use the "ifelse", it reduces the column to just the "levels". project. Also had to expand the limits a little bit to make room for the labels on the tallest bars. character, or use dplyr's "if_else" (which will do it as you Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company The following is a reproducible solution that uses dplyr and the built-in mtcars dataset. The pvalues are given in the file pvaluesmir21combined. value like this: Both facet_wrap and facet_grid also accept input from ifelse as an argument. You don't need ggrepel. I created two conditional geom_text calls and adjusted hjust to get the values outside of the bars. 4. After all is set, we can plot ou geom_text() and geom_label() add labels for each row in the data, even if coordinates x, y are set to single values in the call to geom_label() or geom_text(). 25)). The code below colours the right label as in the particular data. As labels in a ggplot diagram, I want to use the difference of the y-value of both. For whatever reason, this didn't work. I am reading it with read. Dataframe: df &lt;- It's a bit better to use ifelse(), which let's you set the labels of the values right in the aes() function: ggplot(df, aes(x,y)) + geom_point(aes(color=ifelse(y<0,'Small Stuff', 'Big Stuff'))) + Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; Before I ask the question, I just want to say that I have looked every thread in here, but i couldn't find an easy solution for my easy question. I want to name the points above a certain threshold in the proper date format. I am having problems using conditional statements in Shiny. With the help of thothal I managed to do this: var1 &lt;- factor(as. The data (russ_defensive) looks something like this russ_defensive dataframe And this code is meant to create a facet_grid of stacked bars condition Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I was able to solve this problem by defining my break points outside of ggplot and then using ifelse logic within the theme function to create my desired outcome. With geom_text changing the horizontal justification of the text helps a lot with the overplotting (I think). 1 where four Dates shown but #2 and #4 should be skipped. Hot Network Questions Does a matrix C exist so that AC and BC are positive definite? Dominant chord -- is its definiton super flexible in blues or I spotted a mistake? Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; Notes: vjust is rather annoying to use, it's measured in terms of multiples of the height of the display box of the text. I want the user select number of variable. I want to show every second of x-axis label list in the presentation. If they don't work, edit your question to show what you did and why those answers are not satisfactory. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company In ggplot, I would like to label the y-axis on two lines, as in 1 line it is overlapping. Hi @Imsimp. My audience is unlikely to understand scientific notation, so I'm hoping to label the y axis in something like "2M" for two million for example. ggrepel is an excellent choice if you have to deal with overlapping labels. This is very close but can Second option would be to use a manual scale for the text and bar colors. Here is the code: myd<- data. Color axis text by variable. 25 to some larger value, for greater distance between labels;; Increase the x and y-axis limits, to give the labels more Hey everyone, I'm taking the Google Data Analytics course on Coursera, and I wanted to know how to incorporate an if_else statement into my code to change the colors of charts based on conditions. 4 (NOT a label at each date that this occurs)? If so, how many of 50 species You can use tidyr::complete to complete missing factor levels (in your case the missing level in MAKE == "Tata"). For example. Not sure whether I got everything right. I want to be able to adjust the data labels on one of the groups (i. That's the data that I am trying to plot while Variables os the x-axis, r_sqrd is on the y-axis, and colour for defining the colour of the bars. @Thiago Silva Teles, Building off of the code that @Rafael Cunha provided (Thanks, I will be using this too), the expression function works (for me anyhow) to provide degree, minute, and second labels on the plot axis. The core problem is that geom_curve() does not draw a set path, but it moves and scales with the aspect ratio of the plot window. Rather than getting subject-specific outlier labels, three levels of the subject factor are printed repeatedly and erroneously (and seemingly randomly). Environment is Linux. For Repel labels from data points with different sizes. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Is there a way to bring the labels forward with respect to plot panel in ggplot? Actually I was trying to answer my question here. Perhaps use forcats::fct_explicit_na() – Axeman. For ggrepel, we want to apply a single size scale to two aesthetics: In the figure, is it possible to jitter the state abbreviation labels a bit so they don't overlap? If I use check_overlap = TRUE, then it removes some observations that overlap, and I don't want that. I had a look on your other question but unfortunately did not find a solution for the issue. However, this should be strictly group-based. I have assigned colours like seagreen3 to represent >90 excellent perfomance, gold1 colour to represent 80-89 better perfomance, plum2 to represent 60-79 good perfomance and red to represent <60 poor perfomance. For ggrepel, we want to apply a single size scale to two aesthetics: I have used ggplot in a loop to generate scatter plots for each of my 200 variables-V1, V2,etc. Everything works fine except that I can't figure out how to round the numbers used in the data labels. frame in which one variable has many levels (e. tag can be used for adding identification tags to differentiate between multiple plots. With this option you don't have to change your data but just define a labeler in the scale that does everything for you, this is handy if you want to color the x df %>% ggplot(aes(season,fg_perc))+ geom_line(aes(color = player), size = 1. General Goal: Use ggplot to selectively label only lines whose last points are above a certain y value. It allows us to specify a single scale that applies to multiple aesthetics. The only difference is that label draws a rectangle behind the text. 5) Use labels = waiver() to specify that you want the defaults. Changing format of some axis labels in ggplot2 according to condition. I will use ggplot2 for plotting and purrr for looping through ggplot(data = perf. Is this possible in ggplot to have mix of decimal and non-decimal labels? Here is a different way to do it that I personally find to be more appealing (it also avoids the issue of overlapping labels for points in close vicinity): After finally getting it to work I see it is offsetting the previously set ggplot . But when you do, you get garbage. Made text positioning more robust using both hjust and nudge_x, the former aligns the text and the later provides the padding between the text and the end of the bar. To be able to use the functions of the ggplot2 package, we also need to install and load ggplot2. However, you need to be aware that the result will be a meaningless junk chart, in particular if you strip the y axis of axis ticks. character, or use dplyr's "if_else" (which will do it as you expect). As you want the fill color to both reflect the year and the gender you could map the interaction of year and gender on fill and set the fill color for each combination via scale_fill_manual. Then, since the factor was changed to character to add these tags, the data is arranged and CZE is set as an ordered factor again. First is the sample data and manipulations and then the code that im using to create the horizontal bar chart. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Before I ask the question, I just want to say that I have looked every thread in here, but i couldn't find an easy solution for my easy question. Scale log 10 ggplot2 also provides some functions for scale I'm making a ggplot (pie chart) where I have percentage labels. I tend to struggle with adding labels to bar graphs. So the answers on the duplicate that use geom_text should work just as well with geom_label. 12. Can someone tell me perphaps what the issue is. So if the variable used for faceting is logical, the solution is very simple: facet_wrap(~ifelse(variable, "Label if true", "Label if false")) If the variable has more categories, the I need to integrate if else block in ggplot, where depending on value for variable_to_switch it will: if value is numeric -&gt; plot line value is text -&gt; do NOT plot line I provide my code in Good labels are critical for making your plots accessible to a wider audience. Hi @Jakub_Komarek!Below is one approach that uses the ggtext package to bold the desired CZE value. The example the course showed me was a little confusing because they showed me on line of code, but I would've liked for them to show me all the code they In a ggplot combination of geom_violin and geom_point, I would like to label the extreme values of each group. Commented Jun 27, 2017 at 8:41. In this kind of boxplot it is useful to set the y placement for the label manually as I have, or bind it to another variable. Using ifelse you can. I am plotting a line chart using ggplot2 in R. However, I am having trouble getting the labels for undesirable categories (which are stacked below 0) to print in the right order You could create a subset containing just that point and then add it to the plot: # create the subset g1 <- subset(a, GeneName == "G1") # plot the data ggplot(a, aes(log10(Index1+1), Index2)) + geom_point(alpha=1/5) + # this When I plot it in ggplot, it gets a little confusing as US states and two other countries are displayed side-by-side: DF %>% filter(!is. frame(Gelen = c(677042, 577457, 466333, I have a chart where I am charting some very large numbers, in the millions. Separate them into 2 levels on a plot x-axis or more. I've created a facetted line chart comparing 3 different results between 2 groups over a time period. We then perform the "analysis/checking" and plot the data -- first we group_by our variable (cyl in this example, in your example, this would Building on a-s-k's answer I put this in a more flexible form using glue templates and a discrete scale. So coord_cartesian(ylim = c(0, 30)). param1, param2and param3). About; Products OverflowAI; Stack Overflow for Teams Where developers & technologists share private Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; Since you are using the tidyverse packages, mutate the labels you don't want to either NA or blanks "". 6, color="white", size=3. First, you should use strip_nested with facet_nested. Skip to main content. 0. I can fix the code by forcing ggplot to colour a specific row. May I please seek your help to Label a barplot with ggplot2 like the following graph: I am using the following code to obtain the attached plot: The post customize ggplot2 axis labels with different colors describes how you can change the colors of each label when each (discrete) value in your data source has got its own corresponding label. absolventen$ Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; What I want is a label of player's name right next to the dots. Advantages: There will be no labels drawn, not even "" you can define the length of the minor ticks; no But I was wondering, if there is also a option, to change the label directly in the ggplot-call? Background is, that I have many variables and I would like to change the name in the plot not for every variable in my data. Walking through the code: First, create a function, is_outlier that will return a boolean TRUE/FALSE if the value passed to it is an outlier. Is there any way to set this? I am trying to insert labels into a proportional barchart: one label per segment, with as text the percentage of each segment. library(ggplot2) create_plot <- function(df, labels) { if (missing(labels)) { labels <- waiver() } ggplot(df, aes(Sepal. Suppose we want to use R ggplot to produce a barplot showing percentages of some category variable across another category variable. To add labels at specified points use annotate() with This post demonstrates how I used if () statements within my plotting function to use different plotting elements depending on which variable I was plotting. That works so far, but I would like to set the label outside of the bar, so that it is above or under the bar. jojcrkp mjy etmbrhpf xiuiu kbgruq hskihq qod yhx lcke mjyq