Only a logarithmic function has the property that f(10^-5) - f(10^-4) == f(10^-4) - f(10^-3). the -log10-transformed adjusted p-value. ) is used for padding the axis, but the padding is applied symmetrically to the top and bottom, making the y-axis go well below 0. )) would restrict the range of values passed to ggplot. g. 5, 1, 1. R ggplot2 scale_y_continuous : Combining breaks & limits. 3. comma_format() and comma() format numbers with commas separating thousands. 05). g. 5. scale_x_log10() and scale_x_log10() are shortcuts for the base-10 logarithmic transformation of an axis. Below I've illustrated how this can be done using the mtcars dataset. Position scales are used to control the locations of visual entities in a plot, and how those locations are mapped to data values. We will use the last option, a function that takes breaks as an argument and returns a number with 2 decimal places. g. This function does have a pitfall, however, of not preserving the actual exponential values, and it is quite. Setting range and breaks on scale on ggplot2. This function uses the following basic syntax: p + scale_y_continuous (breaks, n. 2 Continuous colour scales. (m <- qplot (rating, votes, data=subset (movies, votes > 1000), na. 2 Zooming. Manual labels eg. Depending on the class at hand, axis ticks and labels can be controlled by using scale_*_date, scale_*_datetime or scale_*_time, respectively. Instead of using scale_x_continuous you can use scale_x_datetime or scale_x_date. FYI, your code is broken: you define year and use Year. Except for the trans argument any of the arguments can be set to derive () which would result in the secondary axis inheriting the settings from the primary axis. vector of multiplicative range expansion factors. ggplot(dt,aes(x=XVal,y=YVal)) + geom_line(aes(color=Type)) + facet_wrap(~Grp,scales = "free_y", ncol = 2) + scale_y_continuous(breaks = my_breaks, labels = function(x){round(x,2)}) Notice, however that in Group C, the labels end up not making total sense, since both values for the breaks (0. right = element_line (color = "red"), axis. e. Value. e. + scale_y_continuous(labels = scales::percent) The following example show how to use this syntax in practice. #Apply transformation gg + scale_y_continuous(trans=probability_trans("norm")) And the result is: The points are transformed correctly (they lie on a straight line), but the function is not! However, everything seems to work fine if I do like this, calculating the CDF with. In your plot, the breaks and labels are set correctly given the default limits of the plot; there is only a break/label at 0. The axes cover the whole range by default, whith a bit of space added at the edges. library (reshape2) library (tidyverse) ggplot (data = df_bar, aes (x = period, y = value, fill = variable)) + geom_bar (stat = "identity", position = "dodge") + theme (axis. Here's an example with the diamonds dataset. frame (x=c (100, 200, 300, 400), y=seq (0. For example, +scale_y_continuous (trans="reverse") draws the coordinate axis from top towards bottom, and scale_y_continuous (trans="sqrt") makes. 이 함수는ggplot2 패키지의 일부이며 대부분ggplot 객체와 함께 사용되어 그릴 그래프에 대해 다른 매개 변수를 수정합니다. See examples of different values for the argument trans, such as log2, log10, sqrt, and reverse. 4. mid. mark =…This is clearly a logarithmic scale, and if you want to emulate it you cannot use a sqrt() transformation. scale_y_discrete A handy way to supply some sample data is the dput() function. 1) First we make a sequence between 0 and the maximum value of the x-axis, plus some extra padding ((x+1)*1. Dynamic limits and breaks in scale_y_continuous. I also show that you can include HTML in the tooltip text, so I've made the. We can create a custom labeler that uses the minimum big value (or any other) as a threshold. Follow asked Oct 3, 2018 at 10:43. ggplot2, rstudio. In this article, you will learn how to set ggplot breaks for continuous x and y axes. count. percent_format() and percent() multiply values by one hundred and display percent sign. The options vjust (vertical adjustment) and hjust (horizontal adjustment) can be also specified to. Length)) + geom_point () + scale_y_continuous (breaks = extended_breaks (n = nmajor), minor_breaks = extended. In the simplest case they map linearly from the data. They use a chart from the Twitter IPO as an example. answered Dec 2, 2018 at 16:35. So. Modified 5 years, 8 months ago. 11. 0. This is always scales::rescale (), except for diverging and n colour gradients (i. Please test code you give us. 1))) does the job. 2 Scale transformation. For facet_wrap, the scales are used for each individual panel. It is possible to override this default using transformations. Additionally, you can't use _scale_continuous for a factor. This is always scales::rescale (), except for diverging and n colour gradients (i. Instead i get no y-axis or tick marks. A standard example are logarithmic coordinates, which can be achieved in ggplot by using scale_y_log10(). It just goes against the math definition. breaks. There are different types of layers, each. I was a labelled point on the y axis above the top of my data, ie to expand my limits to include the break above. line. It is possible to override this default using transformations. 2. Also accepts rlang lambda function notation. g. Reversing the date order is currently yet not supported in ggplot2, as stated in this GitHub issue. See examples with ggplot objects and gridExtra package. dup_axis is provide as a shorthand for creating a secondary axis that is a duplication of the primary axis. as you can see one subset goes up to 6% and the other goes up to 2%, on my original data the Y scale goes up to 13% and 3. However, to reply to your question and get your scale starting at 1 instead of 0, you need to change scale_y_continuous by this: scale_y_continuous (name="Rating", breaks=1:7, limits=c (0, 7)) Does it answer your. I'm using the geom_smooth function for the regression line, but I need 2 regression lines (one for each species). 2. It takes as. 2), labels = c ("0. the labels are placed at integer positions). To do so use scale_y_continuous () with. , scale_x_continuous(trans = "log10"). [See @user236321's answer for a more modern (post April 2022) answer. 2k 6 6 gold badges 54 54 silver badges 94 94 bronze badges. For continuous colour scales, the default legend takes the form of a “colour bar” displaying a continuous gradient of colours: base <- ggplot(mpg, aes(cyl, displ, colour = hwy)) + geom_point(size = 2) base. The truncated look of the axis can be replicated with ggh4x::axis_truncated () (disclaimer, I'm the author of that function). Numeric columns can be reversed by adding scale_y_reverse() or scale_y_continuous(trans = "reverse) but I can't seem to figure out how to get from top to bottom: 2005, 2006, 2007. Rd. 2. demo_datetime for data / time axes. There are three variants that set the trans argument for commonly used transformations: scale_*_log10, scale_*_sqrt and scale_*_reverse. 1). New to Plotly? Plotly is a free and open-source graphing library for R. ylim(1, 7) scale_y_continuous(limits = c(1, 7)) Does anyone know how I can fix this? I'd like a graph that looks like this, but with 1 as the lower y-axis label, which would mean all the bars would be shifted down by 1. There's a couple of things, the scale displays numbers that area a proportion as a percentage, so there's no need to multiply by 100. 1. The following R syntax therefore illustrates. 2 Zooming. Use it when the ranges of your variables vary greatly and need to be freed. 1. Scaling in the example above did not work due to the data types used. In the following. A set of functions to format numeric values: number_format() and number() are generic formatters for numbers. tidyverse. 8 Making a Proportional Stacked Bar Graph. Improve this answer. 5. See how to. Pick better value with `binwidth`. A couple thoughts: You can remove the empty edges of the plot like so: scale_y_continuous (expand = c (0,0)) If you want to try the log transformation, just do: scale_y_log10 () If you want to focus the window: scale_y_continuous (limits=c (-. See how to format axis tick marks and labels with the scales package. 3)) pFrom the help for ?scale_y_continuous, the argument 'labels' can be a function:. scale_y_continuous (breaks=seq (0),limits=c (0,6), breakslabels =. The only way around this is to use a small variable for by in seq e. Position scales are used to control the locations of visual entities in a plot, and how those locations are mapped to data values. rm = TRUE)) # Manipulating the default position scales lets you: # * change the axis labels m. The ggplot capability to allow secondary axes (from version 2. You should remove limits= from scale_y_continous () and use coord_cartesian () with ylim= instead. When I try: scale_y_continuous (labels = scales::percent) I get for my 100 --> 10000% instead of 100%. The x- and y-axis scales allow us to alter the axis titles, limits, breaks (at which values the ticks are labeled), and tick mark labels. As the title suggests, I would like to put the frequency of each level in the x-axis ticks with their corresponding label. If you want to have the axis limits 400-2800, the proper syntax is c (400, 2800). Instead, sometimes you would like to have the y-axis with dollars. The function scale_y_continuous allows for functions to be used for the labels argument. I transformed my y-axis scales as described here: How can I format axis labels with exponents with ggplot2 and scales? I used the following code: scale_y_continuous(breaks=c(0,1e-4,2e-4,3e-4,4e-4),You might be interested in ggh4x::scale_y_facet(). A set of functions to format numeric values: number_format() and number() are generic formatters for numbers. 6 Adjusting Bar Width and Spacing. p1 <- ggplot (mpg, aes (displ, hwy)) + geom_point () plotly::ggplotly (p1) Plot SSIM Learn how to use the scale_y_continuous function in R to set values, print labels, modify scaling ratio, remove labels or customize labels for continuous y-axis scale aesthetics. Every continuous scale takes a trans argument, allowing the use of a variety of transformations: The transformation. New replies are no longer allowed. axis is: scale_y_continuous (sec. ggplot2 の scale_x_continuous で x 軸の限界を設定する. Setting xlim and ylim in coord_cartesian () To zoom in on a region of the plot, it’s generally best to use coord_cartesian (). The expansion vectors are used to add some space between the data and the axes. combine_vars: Take input data and define a mapping between faceting. I would like to plot ONLY y-axis1 DATA (left axis, Var1, dotted line) as a log10 scale. 이 예에서는scale_y_continuous를 사용하여. Mar 18, 2022 at 14:05. The most common continuous position scales are the default scale_x_continuous () and scale_y_continuous () functions. scale_y_reverse (**kwargs) Continuous y position reverse transformed scale. # Break y axis by a specified value # a tick mark is shown on every 50 sp + scale_y_continuous(breaks=seq(0, 150, 50)) # Tick marks can be spaced randomly sp + scale_y_continuous(breaks=c(0, 50, 65, 75, 150)) Remove tick mark labels and gridlines; Format axis tick labels. values contains scale-specific arguments, limits specifies the range of values to include in mappings, breaks specifies the breaks to use in legend/axis, and name and labels specify the title and labels to use in the. I used the following "scale_y_continuous (labels = scales::comma, accuracy=1. I have tried several things, but does not work ( I believe I am using them in the wrong order/place) such as:1. )). breaks and 2. 5), limits = c(5,7)) was the solution! What you may have to keep in mind if you use log transformed data like me is that if you simply put c(0,40) or similar, your data may appear very small as the distance from 0 to the first break (10 in my case) is large and it could be better to use the real bottom. The latter can take a selection of options, namely "reverse", "log2", or "sqrt". Other position scales: scale_x_binned(), scale_x_continuous(), scale_x_date() Examples+ scale_y_continuous(labels = scales::percent) The following example show how to use this syntax in practice. 1 Answer. ) only accepts a single scale. R. You can manually adjust the yscale with. ggplot2: change break points of discrete scale to be between two break points. Since the boxplot is base on percentiles, you can set values that are equal to 0 into a near-zero value, so the percentile is well calculated. With other kinds of plots, it seems like you can call something like scale_y_continuous(limits=c(0, 100), expand = c(0, 0)) (for example), but calling scale_linetype_manual() with these parameters. The x and y parameters can be modified using these. When I add scale_y_discrete with label text as I want them I keep getting this error: Error: Breaks and labels along y direction are different lengths. Next, we will create a function using a series of if else statements to “gradually” identify the individual facet panels based on their current limits, and then set the new limits for each of them. Every plot has two position scales, corresponding to the x and y aesthetics. We still use sec_axis () as before, but rather than scaling the transform by 1/2 for the secondary axis, we inverse scale the breaks on the secondary axis instead. NOTE it's important to add 0 to the breaks to make it. Set the y axis label: m + scale_y_continuous(name = "number of votes") Let's relabel the axes to be in 10,000. scale_y_continuous(name="Fluorescent intensity/arbitrary units", labels = comma) to your ggplot statement. Please mark answers as accepted if they helped you to solve your problem. This answer is out of date for ggplot2 version 0. The axes cover the whole range by default, whith a bit of space added at the edges. data:Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand ; Advertising Reach developers & technologists worldwide; Labs The future of collective knowledge sharing; About the companyYou need to specify your requirements for the y axis and set it up with the scale_y_continuous statement. You can set the limits precisely by setting expand = FALSE p + coord_cartesian(xlim = c (325. This is precisely why R cannot calculate log (x) if x is negative. The following performs a Mercator transform to the y-axis. e. 10 Making a Cleveland Dot Plot. 0 using sec_axis (), and which only requires creating a single plot. Using these two functions, the following x or y axis parameters can be modified : axis titles; axis limits (set the minimum and the maximum) choose where tick marks appear; manually. 2)) # the order of expand_limits and scale_y_continuous # does not change the outputPosit Community. The function scales::comma () is useful for presenting numbers using commas to separate the thousands. 4) for 40%:Method 1: Whole number representation. On my ggplot (see below), I was expecting scale_y_continuous(breaks=(seq(0, 90, 10))) to set y between 0 and 90 and spaced every 10. Ask Question Asked 5 years, 8 months ago. # Custom Y-axis labels labels <- function(x) { paste(x, "grams") } p + scale_y_continuous(label = labels) The length of the vector passed to labels must equal the number of breaks. Be warned that this will remove data outside the limits and this can produce unintended results. 3, scale_y_continuous (expand = expansion (mult = c (0, . Using the following code I get the result displayed at the end of the code. Learn more about CollectivesUsing scale_x_continuous() and scale_y_continuous(), I define my own breaks, labels, and extent for each axis. 15 axis label scales The scales package, a ggplot2 dependency 4 , makes it incredibly easy to reformat x and y axis labels (among other things). If you'd like to keep the upper extent of the scale "unchanged" from what ggplot would have calculated by default, AND eliminate the padding on the lower bound so the plot area starts at exactly 0, as of ggplot2 v3. since it's a separate parameter to scale_y_continuous which is really just a call to continuous_scale. stats() to get. This needed a bit of jiggery-pokery to get the second axis on a reasonable scale. The default x- (and y-) axes scales are scale_x_continuous and scale_y_continuous, but other options include scale_x_sqrt and scale_x_reverse. I'll be using shiny to help explore the results of modeling efforts using different training parameters. scale_x_discrete() and scale_y_discrete() are used to set the values for discrete x and y scale aesthetics. See the arguments, examples and built-in transformations for each variant. You can add labels to show Month Day using date_format from scales package. y = after_stat (prop) which instead of the counts will map the prop ortions on y. Your bars starts at 0 point and therefore are removed because minimal y value is set higher. and by mathematical definition: log (x) = y <==> x = e^y. The suffix is applied to absolute value before style_positive and style_negative are processed so that prefix = "$" will yield (e. 15,0)) works in many cases, but not all. 3, -20. x = element_text. To remove this gap currently one has to add scale_y_continuous(expand = expansion(c(0, 0. # Set the range of a continuous-valued axis # These are equivalent bp + ylim (0, 8) # bp + scale_y_continuous(limits=c(0, 8))This behaviour depends on the oob (out-of-bounds) argument of scale_y_continuous(), which defaults to the scales::censor() function. 4, by=0. I think that neither of your suggestions (scale_y_continuous or coord_cartesian) are applicable facet-by-facet. For simple manipulation of scale labels and limits, you may wish to use labs() and lims() instead. p <- ggplot (mtcars, aes (cyl, mpg)) + geom_point () p <- p + scale_y_continuous (sec. 5. library (dplyr) library (ggplot2) mtcars %>% count (cyl) %>% mutate (prop = n / sum (n)) %>% ggplot (aes (x = cyl, y = prop)) + geom_point () + scale_y_continuous. frame like this, but I find it hard to specify the breaks in scale_y_discrete inside the dplyr pipeline. Sorted by: 1. Draw a basic volcano plot . It doesn't need necessarily be a solution to the scale_y_continuous issue. I'm trying to reverse the y-axis of a plot. A menudo, es posible que desee convertir el eje x o la escala del eje y de un gráfico ggplot2 en una escala logarítmica. axis = sec_axis (~. . My trouble is in combining the two ideas in R:I have the 'scales' package loaded and even use label = comma in the scale_y_continuous() line. d1 = data. 5. 5g", x)}. 1. 15), expand=c (0,0)) Also consider adding theme_bw () for a cleaner look. value, trans. These functions are used to set the following arguments: name, breaks, labels, limits, na. Learn R. This behaviour depends on the oob (out-of-bounds) argument of scale_y_continuous(), which defaults to the scales::censor() function. , without needing to change the the original function to output log10 values). ggplot(fulldata,aes(x=gymnasiegrov)) + geom_bar() + coord_flip() + scale_y_continuous(labels = scales::percent) And I get: For some reason the percentages are (I would assume) 100 times larger. Note that, scale_x_continuous() and scale_y_continuous() remove all data points outside the given range and, the coord_cartesian() function only adjusts the visible area. Unlike continuous scales, discrete scales can easily show missing values, and do so by default. This means that it is impossible to plot a percentage (scale_y_continuous(labels=scales::percent_format())) and a scientific number (scale_y_continuous(labels=scales::scientific_format())) on the same axis but different. RDocumentation. Right now the axis is between 0. scale_y_discrete (*args, **kwargs) Discrete y position. Background: When we set log = "y" in an R curve() call, R converts the function to be plotted to output log10 values of the function's original values (i. 1 of ggplot2) autoplot () is an extension mechanism for ggplot2: it provides a way for package authors to add methods that work like the base plot () function, generating useful default plots with little user interaction. 28. breaks: determines the axis breaks of the x or y-axis. Yesterday, I talked about scale_x_date and scale_x_discrete. with the limits, breaks, and labels arguments), but sometimes you will need additional control over guide appearance. . 5. The idea is to increase at least +1 to the maximum value of the plot with the highest y-axis value (in the case explained above, it would be the second boxplot with n=8) I have tried to change the y-axis with scale_y_continuous like this: p <- p + scale_y_continuous(limits = c(0, 5. scale_x_continuous () and scale_y_continuous () are the default scales for continuous x and y aesthetics. A function used to scale the input values to the range [0, 1]. The limits of my graph are -1 and 1, but I want the scale to display the labels as absolute percentages i. 1 Making a Basic Line Graph. 1 Answer. The difference between the two (irrelevant for geom_point) is that scale_y_continuous (limits = c (. 1 Answer. 0+ you can specify separate expansion values for the upper and lower limit of the scales. 006) round to 0. If these are extensions of the data scale, I've also done this by adding fake data to the data set (and doing whatever's necessary to make sure it is considered in defining scales, but not plotted). 1. On a log scale there is no 0, therefore the only sensible place for bars to start from is y = 10^0 or 1. There are three variants that set the trans argument for commonly used transformations: scale_*_log10 (), scale_*_sqrt () and scale_*_reverse () . Similarly, the scale_discrete function for discrete variables adds 0. Details. For continuous colour scales, the default legend takes the form of a “colour bar” displaying a continuous gradient of colours: base <- ggplot(mpg, aes(cyl, displ, colour = hwy)) + geom_point(size = 2) base. In the example below the transformation for the secondary axis. An other possibility is the function scale_x_log10 () and scale_y_log10 (), which transform, respectively, the x and y axis scales into a log scale: base 10 . I see. 5 x 10^-4, etc. I can do this manually with + scale_y_continuous(limits = c(a,b)) where I set the appropriate values for a and b, however, I have a lot of different dataframes with different temperature ranges. Numbers label_number() is the workhorse that powers ggplot2’s formatting of numbers, including label_dollar() and label_comma(). 1) Arguments. Use scale_y_continuous para remover rótulos no eixo Y em R. <p>This is a convenience function for generating scale expansion vectors for the <code>expand</code> argument of scale_ (x|y)_continuous and scale_ (x|y)_discrete. This means they may only be transformed via addition or subtraction, e. g. Sam. In this particular case we have it fairly easy. However, as seen on the image below, y axis don't match. With scales you can make use of trans_new to define a new transformation. So to make sure the pretty breaks line up with the limits based on the original. ) only accepts a single scale. Position scales for discrete data. The inverse of scaling, making guides (legends and axes) that can be used to read the graph, is often even harder! The scales packages provides the internal scaling infrastructure used by ggplot2, and gives you tools. Hi there, I need some help. As of now, ggplot2 supports three date and time classes: POSIXct, Date and hms. g. . Learn how to use the scale_y_continuous function in ggplot2 to change the range of a continuous y axis. For this, we can use the scale_x_continuous and the minor_breaks argument as shown below: ggp + # X-axis minor breaks scale_x_continuous ( minor_breaks = seq (0, 10, 0. The second call overrides the first. 1. A convenient way to specify what guides should be drawn where is the guides. from 100% on the left over 0% in the center to 100% on the right. Note that these axis values may not make much sense (eg. Responses included code but the post sparked a conversation around why this can be misleading. 2. 75 )) Notice that the number of decimal places displayed is consistent for all labels and automatically determined from the value with the highest number of decimal places. 2. 3, scale_y_continuous (expand = expansion (mult = c (0, . You might also consider using coord_cartesian () to control the axes -- the main difference is that it will keep all the input. I'm using : scale_y_continuous(labels = scales::unit_format("k", 1e-3)) but displays as a whole number. Step 2. This is useful for scales which span. I also remove the gap between the graph and the axes using the expand argument. 2. Additional text to display before the number. 5, position="stack") + scale_y_continuous (trans = "log1p") This doesn't work, however, as the stacking is performed without taking the log scale into. 3. Normally scale_y_continuous(expand =. Starting by defining the function to transform the axis, the definition of its inverse is also required. 이 함수는 ggplot2 패키지의 일부이며 대부분 ggplot 객체와 함께 사용되어 그릴 그래프에 대해 다른 매개 변수를 수정합니다. binned_scale: Binning scale constructor; borders: Create a layer of map borders; calc_element: Calculate the element properties, by inheriting properties. 1, 0. 0+ you can specify separate expansion values for the upper and lower limit of the scales. You can use the following syntax to set the axis breaks for the y-axis and x-axis in ggplot2: #set breaks on y-axis scale_y_continuous (limits = c (0, 100), breaks =. Variable data is continuous data, this means that the data values can be any real number like 2. Learn how to customize the y-axis of a plot using the scale_y_continuous function in ggplot2 with examples and syntax. 1))trans="log10" and labels = scales::dollar problem. I would like the numerical value yielded from seq(0,80,5) to appear in both lines, but with % written. 2, transform the y values using yield/0. Your options are 'fixed' (default), 'free_x', 'free_y', or 'free' for both. 5), which explains my decision-making in the if_else() function (line 10–12) in my mutate function that creates color. It only works with facets where scales are free. There are three ways to control the plot limits: Adjusting what data are plotted. The dotted line would therefore look higher on the y-axis and differences between 1 and 2 would be noticeable. If it is an issue you can try to use coord_cartesian (ylim = c (0,7)) in your code and remove limits from scale_y_continuous. 5, 34, 34. Therefore the result looks like a single line. The defaults are to expand the scale by 5% on each side for continuous variables. 5. Minor suggested edit to the response above: It seems that you have to specify the limits within the scale_y_continuous call prior to setting the values as percentages: scale_y_continuous (limits=c (0,1), labels = scales::percent) Share. Control of the x and y axes for continuous variables is done with the functions scale_x_continuous and scale_y_continuous. Deep Learning with Python by François Chollet. See examples of different values for the argument trans, such as log2, log10, sqrt, and reverse. scale_y_continuous is used to set values for continuous y-axis scale aesthetics. Now suppose we attempt to create a scatterplot with a custom y-axis scale using the scale_y_continuous() argument: library (ggplot2) #attempt to create scatterplot with custom y-axis scale ggplot(df, aes (x, y)) + geom_point() + scale_y_continuous(limits = c(0, 10)) Error: Discrete value supplied to continuous scaleThis factor makes all the difference. But you can also define custom transformation functions by supplying the trans argument to scale_y_continuous() (and similarly for scale_x_continuous()). Follow edited Jun 18, 2014 at 15:25. The link that @joran gave in his comment gives the right idea (build your own transform), but is outdated with regard to the new scales package that ggplot2 uses now. 0. Customize a continuous axis. and then also expanded (in line with expand =. percent_format() and percent() multiply values by one hundred and display percent sign. 3. Everything works fine except that I can't figure out how to round the numbers used in the data labels. The axis will automatically scale to the data. The easiest and quickest and nicest way to fix these long labels, though, is to use the label_wrap () function from the scales package. It's also possible to control axis breaks by specifying a step between ticks. If you want to remove missing values from a discrete scale, specify na. Since you are not using any transformation you might as well use pretty_breaks instead of trans_breaks. 5% and because I want to show them side by side to show a bigger difference I would like to have the same 13% scale on both, but how can I change that for scale_y_continuous(labels = scales::percent)? 6. ggplot2: change break points of discrete scale to be between two break points. Error: Discrete value supplied to continuous scale. 1 Continuous Axis. In ggplot2 you can specify formats in 2 ways. These functions share common API deisgn, with the first argument specifying the limits of the.