Basics. Formatting of axes labels is possible to convert the scientific notation to other formats. 2, 0. mark =…This is clearly a logarithmic scale, and if you want to emulate it you cannot use a sqrt() transformation. y with custom breaks on y-axis ggplot(df, aes(x=x, y=y)) + geom_point() + scale_y_continuous(limits = c(0, 100), breaks = seq(0, 100, 10)) Customize a continuous axis. The first way is to modify the scale, and the second is to apply a coordinate transform. Numbers label_number() is the workhorse that powers ggplot2’s formatting of numbers, including label_dollar() and label_comma(). Also accepts rlang lambda function notation. As of now, ggplot2 supports three date and time classes: POSIXct, Date and hms. I can either trans = l / 1000 or paste0 (l, "K") but if I try. 5. 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. a function that takes a vector x and returns a character vector of length (x) giving a label for each input value. However, as seen on the image below, y axis don't match. 33, -3. , date, continuous, discrete). The link that @joran gave in his comment gives the right idea (build your own transform), but is outdated with regard to the new scales package that ggplot2 uses now. This is always scales::rescale (), except for diverging and n colour gradients (i. The simplest way is to use the scales package, which provides some easy-to-use formatting functions, such as percent and percent_format. You can move this threshold to 1e-5 with the labeller function prettyNum0 <- function(x){sprintf("%. . The function scale_x_continuous () and scale_y_continuous () can be used for ggplot axis breaks. p + expand_limits(y = 0) + scale_y_continuous(expand = c(0. If it helps, I used the following data for p1:Description. 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. Value. The suffix is applied to absolute value before style_positive and style_negative are processed so that prefix = "$" will yield (e. 0. Syntax: scale_x/y_continuous( limits, breaks) Parameters: limits: determines the limits of the x or y-axis. If you want to control the range of the x data, and the number of breaks, put both inside scale_x_continuous. The expansions vectors are used to add some space between the data and the axes. Position scales for continuous data (x & y) Description. co/bD0g2c I also cannot. If you have a 'rule' for the y-axis breaks/limits you can provide a function to these arguments of the scale, which will evaluate that function for every facet. 3. breaks without scale_y_continuous() in ggplot2. It also explains how to put a dollar sign on the y-axis labels with scales::dollar. Ideally, I would use the lowest value (+ some space) from both plots, and the highest value (+ some space) from both plots for the limits of both plots. Just do fivenum() on the data to extract what, IIRC, is used for the upper and lower hinges on boxplots and use that output in the scale_y_continuous() call that @Ritchie showed. 5-1. As a consequence, the rectangles can't be drawn. + scale_y_continuous(labels = scales::percent) However I have not been able to find how to do this in Plotnine. The scale_x_continuous () and scale_y_continuous () methods can be used to disable scientific notation and convert scientific labels to discrete form. Share. frame (x = 1:5, y = 1:5, p = 1:5, q = factor (1:5), r = factor (1:5)) p <- ggplot (dat, aes (x, y, colour = p, size = q, shape = r)) + geom_point () # without guide specification p #> Warning: Using size for a discrete variable is not advised. This occurs because the default for scale_(x|y)continuous* for continuous variables adds 5% at either end so that points are not right at the edge. I tried the methods listed in the other question posted above, but they didn't work for my case. Doing so however makes the larger scale a mess. axis = sec_axis (~. You can set the breaks manually (see method #2 below), in which case it looks like ggplot is not respecting your request for a log-scaled axis, but the difference between a linear and a log scale is almost indistinguishable for this data range. To do so use scale_y_continuous () with. 下面是一个使用scale_y_continuous()函数绘制的带有Y轴断点的ggplot2散点图。这个函数有一个break参数，它接受一个向量作为输入，这个向量有所有y轴断点的向量点。因此，在这里我们可以手动设置坐标轴断裂点到图中。I am trying to reproduce a sparkline with ggplot2 like the one at the bottom of this image:. Note that these facets must be used with scales = "free" or "free_x" or "free_y", depending on what scales are added. Starting by defining the function to transform the axis, the definition of its inverse is also required. You could make a special case for 1e-5 using prettyNum0 <. 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. If it is logical, the TRUE means the default of ggplot2 (foregoing statement), and FALSE means no expand for the plot. Here is an example using the classic iris data set that comes with R. A character or factor value will create a discrete scale. You can use the scale_x_continuous() function in ggplot2 to customize the x-axis of a given plot. scale_x_continuous() and scale_y_continuous() are the default scales for continuous x and y aesthetics. Controlling range with scale_y_continuous will filter the data (e. scale_y_continuous (breaks= seq (0,1,by=0. Dec 13, 2018 at 5:22. FYI, your code is broken: you define year and use Year. Now, the same format would be specified (much more neatly) this way: scale_y_continuous (labels=function (x)x*1000) or if you want to use the same labelling scheme multiple times: formatter1000 <- function () { function (x)x*1000 } scale_y_continuous (labels=formatter1000. mid. Why not use this as an answer?scale. See Also. Visualization examples • povcalnetR - GitHub Pages. A volcano plot depicts: ; Along its x-axis: log_fc i. The only way around this is to use a small variable for by in seq e. g. g. 013 and 0. 05)) to the plot. Using the following code I get the result displayed at the end of the code. 2), labels = function (x) scales::percent (x), expand = c (0, 0)) + labs (title = "Y axis line looks perfect, but the. Break points not behaving with scale_y_continuous() 0. Variable data is continuous data, this means that the data values can be any real number like 2. Using R 3. john22 July 1, 2021, 1:07pm #1. This is always scales::rescale (), except for diverging and n colour gradients (i. Note how smooth continues past the points visible on this plot. breaks, labels, limits,. First, this simple code should yield the following figure: ggplot (data = mpg, aes (x = displ, y = hwy)) + geom_point () + scale_x_continuous (sec. All formatters allow you to re-scale (multiplicatively), to round to. Follow edited Jul 1,. 2 on) is mostly a labelling benefit. groups. 2) Example 1: Set Y-Axis to Percent Using scale_y_continuous Function. See the addition of geom_point (aes (text =. 1) Third, pretty() turns this sequence into a sequence of "pretty" values (meaning 1, 2, or 5 times a power. Suppose we have the following data frame in R that shows the percentage of items that were returned at four different stores:ggplot (subset (mtcars, am==1), aes (x=wt, y=mpg, colour=carb)) + geom_point (size=6) In the top one, dark blue is 1 and light blue is 4, while in the bottom one, dark blue is (still) 1, but light blue is now 8. Example: Convert Axis in ggplot2 to Percentage Scale. 이 예에서는 scale_y_continuous 를 사용하여 Y 축 레이블을. 1. 1) Description Usage Arguments. Use it when the ranges of your variables vary greatly and need to be freed. scale_y_continuous in ggplot2 How to use logarithmic scales with ggplot2 axes. 1. 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 label tick marks The only way around this is to use a small variable for by in seq e. scale_y_continuous. ) only accepts a single scale. 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. Yesterday, I talked about scale_x_date and scale_x_discrete. When adding the p-values to a horizontal ggplot, you need to specify the option coord. 5)) + scale_y_continuous(breaks = seq(-17. A google search turned up this which didnt deal with exactly my problem:Arbitrary function scales# Users can define a full scale class and pass that to set_xscale and set_yscale (see Custom scale). 0. Inspired by Stack. Therefore the result looks like a single line. y. 3. Most tutorials solely focus on the x-axis. Improve this answer. I'm borrowing from this answer. The numbers are already in % but without such symbols. Colour gradients are often used to show the height of a 2d surface. 9%) or perhaps just to 51% (depends on what looks best). count. Cómo crear una escala logarítmica en ggplot2. scale_x_discrete () and scale_y_discrete () are used to set the values for discrete x and y scale aesthetics. Puede usar uno de los siguientes dos métodos para hacerlo usando solo ggplot2: 1. p + coord_cartesian(xlim = c (325, 500)) #> `geom_smooth ()` using method = 'loess' and formula = 'y ~ x' # By default, the same expansion factor is applied as when setting scale # limits. scale_y_continuous (name, breaks, labels, limits, trans) The meaning of these elements goes as follows: name – Y or X axis label; breaks – controlling the breaks in your guide (e. Improve this answer. frame(x = 1:5, y = 1:5) p <- ggplot(df, aes(x, y)) + geom_point() p <- p + expand_limits(x = 0, y = 0) p # not what you are looking for p + scale_x_continuous(expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0)) You may need to adjust things a little to make sure points are not getting cut off (see, for example, the point at x. This is a convenience function for generating scale expansion vectors for the expand argument of scale__continuous and scale__discrete. 05). , grid. 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. The axes cover the whole range by default, whith a bit of space added at the edges. This means that if a scale attribute is modified in one call to scale_x_continuous(), a second call to scale_x_continuous() will write over all changes made in the first. 1) First we make a sequence between 0 and the maximum value of the x-axis, plus some extra padding ((x+1)*1. expand = expand_scale (mult = c (<some number>, <some number>)) From ?expand_scale, we can see the full set of default parameters for the function is this: expand_scale (mult = 0, add = 0) Where both mult & add can have length 1 (same value applied to lower / upper limits) or length 2 (first value applies to lower limit, second to. Every continuous scale takes a trans argument, allowing the use of a variety of transformations: The transformation. This will extend only the right end of your Y-axis by 10% (. FollowGuides: axes and legends. In ggplot2 you can specify formats in 2 ways. 0. 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. as agstudy wrote. It takes as. This function does have a pitfall, however, of not preserving the actual exponential values, and it is quite. Dynamic limits and breaks in scale_y_continuous. We can do that by specifying scale_y_continuous () with labels=scales::dollar_format () df %>% ggplot (aes (x=Education, y=Salary)) + geom_col ()+ scale_y_continuous. Follow edited Jun 18, 2014 at 15:25. frame (x=c (100, 200, 300, 400), y=seq (0. 5), which explains my decision-making in the if_else() function (line 10–12) in my mutate function that creates color. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0. The following performs a Mercator transform to the y-axis. See the arguments, examples and built-in transformations for each variant. New to Plotly? Plotly is a free and open-source graphing library for R. )) would restrict the range of values passed to ggplot. Set up data: set. Part of R Language Collective. Part of R Language Collective. 7 Transformations. 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. 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. e. library (ggplot2) ggplot () + geom_col ( data = f400weight, aes (factor (month), avg_weight, fill = factor (fruit_origin. 5g", x)}. 4 Answers. I want to duplicate and then customize the labels of the secondary y axis. 500000 to 500K. There are three variants that set the trans argument for commonly. If the X and Y axis represent continuous data, we can use scale_x_continuous() and scale_y_continuous() to modify the axis. Based on these functions trans_new is defined. The dotted line would therefore look higher on the y-axis and differences between 1 and 2 would be noticeable. g. Can be used to increase the number of x and y ticks by specifying the option n. This is useful if the underlying data is very small or very large. p1 <- ggplot (mpg, aes (displ, hwy)) +. Deep Learning with Python by François Chollet. right = element_line (color = "red")) Maybe there is a. If you want to treat them as discrete, convert to a factor. Learn how to customize the y-axis of a plot using the scale_y_continuous function in ggplot2 with examples and syntax. 5. 2, 10, 32, 100), limits=c (0,100)), I get this: ibb. Want to show a calendar, days on the left # and candle lines showing the. – Jon Spring. 1. The function scales::comma () is useful for presenting numbers using commas to separate the thousands. e. g. I am now trying to change the label of one factor. We need dig. Length)) + geom_histogram() + scale_y_continuous(expand = c(0. I solved my own problem. I'm an absolute beginer in ggplot but I need to rapidly expand the size of the y-labels in a code written by a colleague which is currently unreachable. p <-ggplot (mtcars, aes (cyl, mpg)) + geom_point # Create a simple secondary axis p + scale_y_continuous (sec. There are 4 helper functions in scales used to demonstrate ggplot2 style scales for specific types of data: demo_continuous () and demo_log10 () for numerical axes. 1))) does the job. fill は continuous カラースケールのデフォルト値です。 scale_fill_continuous メソッドの引数は、Viridis または gradient にすることができます。 この方法の例を試してみましょう。 まず、ggplot2 パッケージを. Thus, using percent() is not an option anymore. scale_x_continuous() and scale_y_continuous() are the default scales for continuous x and y aesthetics. by default multipled by 0. +200. Hi, Im tring to create ggplot graph with secondary axis. Second, for cases like this, you need to transform the values for the second axis with the inverse transformation as the axis itself. But that reminded me you can just specify the transformation with the trans argument, so a simpler solution than what I originally provided is available. I'd like the axis labels to be 0, 5 x 10^-5, 1 x 10^-4, 1. Share. *0. The issue is that you are plotting the counts. The difference between the two (irrelevant for geom_point) is that scale_y_continuous (limits = c (. #Our transformation function scaleFUN <- function (x) sprintf ("%. dup_axis is provide as a shorthand for creating a secondary axis that is a duplication of the primary axis. 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. Here is a reproducible example: Here is a reproducible example:I know that I can use scale_y_continuous(limit=c(0,30)) but since I've already reversed my axis, and would like to keep it that way, I am unable to also set the limits of the axis. axis is: scale_y_continuous (sec. If you want to reverse the order of the y axis you can use scale_y_reverse() or you could use scale_y_continuous(trans = "reverse") both will produce the desired output. breaks: determines the axis breaks of the x or y-axis. Use guides() or the guide argument to individual scales along with guide_*() functions. 2k 6 6 gold badges 54 54 silver badges 94 94 bronze badges. Please mark answers as accepted if they helped you to solve your problem. You can use these scales to transform continuous. All formatters allow you to re-scale (multiplicatively), to round to specified accuracy, to add custom suffix and prefix. coord_cartesian () just zooms that region of values. . I have successfully used a function to add degree symbols to the tick labels created by scale_x_continuous. The rescaler is ignored by position scales, which always use scales::rescale (). 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. labels of datetime axis, just like using the date_breaks and date_labels argument in scale. You can fix the ends of the color bar by giving a limits argument to the scale; it should cover the whole range that the data can. Each of these scale functions has many options including changing the limits, the breaks, etc. [See @user236321's answer for a more modern (post April 2022) answer. For example, if by = 5, a tick mark is shown on every 5. coord_cartesian を用いて ggplot2 の両軸を制限する. Use scale_y_continuous para imprimir etiquetas do eixo Y como porcentagens em R. 6. demo_discrete () for discrete axes. To fix this problem, the expand argument within the scale_y_continuous section needs to be set to "c(0. This is a shortcut for supplying the limits argument to the individual scales. この例では、アイリスのデータセットを用いて、セパル幅の値とセパル幅を相関させ、種を色で. scale_y_continuous를 사용하여 R의 백분율로 Y 축 레이블 인쇄. Follow. Function that handles limits outside of the scale limits (out of bounds). A standard example are logarithmic coordinates, which can be achieved in ggplot by using scale_y_log10(). from 100% on the left over 0% in the center to 100% on the right. On a log scale there is no 0, therefore the only sensible place for bars to start from is y = 10^0 or 1. translate. scale_continuous GGPLOT - scale_continuous Position scales for continuous data (x & y) and then convert them with ggplotly. See how to. Creator and author. Scale Types. <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. We often put these types of data on the x-axis, while the y-axis is frequently used for counts. If you haven’t done this before, you define that you want a secondary axis with the sec_axis argument to scale_y_continuous. , scale_colour_gradient2 () ,. How to give Y axis limit and break as argumnet. You will need to transform it - here I am telling it to divide the value by 10,000. . – Jon Spring. Note that the limits function gets the 'natural' data limits as argument, whereas the breaks function gets the expanded limits as argument. 5, 1, 1. 4-1. However, when I adjust the font face using theme (), the tick labels do not become bold. R ggplot2 scale_y_continuous : Combining breaks & limits. You give it a way to find the appropriate panel cond == "C" and give it a different label function than the default scale. Setting limits on the coordinate system will zoom the plot (like you're looking at it with a magnifying glass), and will not change the. The same could be achieved by using, e. 0+ you can specify separate expansion values for the upper and lower limit of the scales. flip = TRUE in the function stat_pvalue_manual () [in ggpubr package]. Every plot has two position scales, corresponding to the x and y aesthetics. 1 Answer. 5 , 30. See examples of different values for the argument trans, such as log2, log10, sqrt, and reverse. The ggplot capability to allow secondary axes (from version 2. It may also be possible to use the. , natural log) of the function to. Here is what happens when I set the limit on scale_y_continuous () to c (0,1): example_plot + scale_y_continuous (NULL, limits = c (0, 1. I want to make a ggplot for which the y-axis labels are formatted by a pre-made list. packages ("devtools") devtools::install_github ("tidyverse/ggplot2") library (ggplot2) p + theme ( axis. 5 Coloring Negative and Positive Bars Differently. Use scale_y_continuous() or scale_x_continuous() ggplot(df, aes (x=x, y=y)) + geom_point() + scale_y_continuous(trans=' log10 ') + scale_x_continuous(trans='. You can specify limits, breaks, and labels in scale_y_reverse() and just omit scale_y_continuous(). I changed your first y scale name to correct that. scale_x_discrete() and scale_y_discrete() are used to set the values for discrete x and y scale aesthetics. this is helpful, however, the scale from the scale_y_continuous function is applied across all boxplots. scale_y_continuous (breaks = seq (-100, 100, 2), labels = abs (seq (-100, 100, 2))). This older stackoverflow question explains how to change your y-axis to K for thousands instead of ,000. x = element_text. 2)) # the order of expand_limits and scale_y_continuous # does not change the outputPosit Community. Based on these functions trans_new is defined. 4. I am creating a box plot in which I have used scale_x_reordered () after adjusting the order of factors on the x axis. You will also need to specify that this should be applied to the limits= argument. e. 이 예에서는scale_y_continuous를 사용하여. The points in the two datasets will be in different colors in order to distinguish the two scales. 90. vector of multiplicative range expansion factors. Everything works fine except that I can't figure out how to round the numbers used in the data labels. Change the breaks. Second. This needed a bit of jiggery-pokery to get the second axis on a reasonable scale. r; ggplot2; contour; Share. The one problem with this solution is that the. Continuous y position for datetime data points. Run the code above in your browser using DataCamp Workspace. Not only that, but even when specifying scale_y_continuous(breaks = scales::pretty_breaks(n = 5)) I don't get the same number of tick in both y axis: Hope at least somebody can set me on the right track, in case this is fixable. Sam. For example, if by = 5, a tick mark is shown on every 5. Any help on how to put the Y label to work will be of great help. A question was posed on the NHS-R Slack asking for help to code 2 scale y axes on a {ggplot2} chart. don't provide any label text. The easiest and quickest and nicest way to fix these long labels, though, is to use the label_wrap () function from the scales package. 15,. It only works with facets where scales are free. To this end, you use the function trans_new() from the scales package. This is precisely why R cannot calculate log (x) if x is negative. In the scale_y_continuou () function there is an argument sec. In ggplot2 version 3. scale_x_continuous () and scale_y_continuous () are the default scales for continuous x and y aesthetics. Provide details and share your research!このメソッドは、options() を使用してデフォルト設定を決定します。 ここで、ggplot2. 0. g. I must have had a typo or not tried this properly somehow, but the solution is that scale_y_reverse () takes 'label' as an argument, just like scale_y_continuous. Share. 4) for 40%: You can use the scale_y_continuous () function in ggplot2 to customize the y-axis of a given plot. Now I try to transform the Y axis according to the distribution used. 2 Answers. I'll be using shiny to help explore the results of modeling efforts using different training parameters. It is possible to override this default using transformations. The ggh4x package has a few additional axes described further on. Hi there, I need some help. Guides are mostly controlled via the scale (e. Aug 27, 2021 at 20:19 @Jon Spring coord_cartesian works. How can I set the limits of the secondary axis?Thanks to the comment below, this can be done by using latest dev. R R Plot. 6, 0. Here's an explanation: First, The breaks argument in scale_y_continuous() can take the form of a function of the plot's input data (x in this case) Second, seq(0, (max(x) + 1) * 1. answered Jan. 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. We recommend. 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. Collectives™ on Stack Overflow. Just to keep current, in ggplot2_0. lab = and then reformatting the y axis labels with str_replace_all from stringr. upstartr (version 0. You can leave one value as NA if you want to compute the corresponding limit from the range of the data. Instead i get no y-axis or tick marks. To make both changes work, get rid of ylim () and set both limits and breaks in scale_y_continuous (): pg_plot + scale_y_continuous(limits = c(0, 10), breaks =. 14. 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. Continuous Data. The following R syntax therefore illustrates. line. However, scale_y_continuous() expects a function as input for its labels parameter not the actual labels itself. Then I try to use the same exact argument with an area plot and it screws the plot up in a. First. Use coord_cartesian instead of scale_y_continuous:. 0. Update the y-axis to show the new scale. library (ggplot2) library (scales) nminor <- 7 nmajor <- 5 ggplot (iris, aes (x = Species, y = Sepal. Version: Français. limit,upper. how to display data that begins outside the Scale Limit. the -log10-transformed adjusted p-value. and by mathematical definition: log (x) = y <==> x = e^y. 3. 4) for 40%:Method 1: Whole number representation. With scales you can make use of trans_new to define a new transformation. any data points outside the range of the limits will become NAs. super. 5, 5, 6, 8)) 指定した目盛りが適用されるのは、 主目盛り線 になります。 補助目盛り線 は、 主目盛り線 の中間の位置に描かれます。The scales argument is for freeing the x, y, or both scales for each facetted plot. scales::percent(100, scale = 1) ## [1] "100%" 然而，scale_y_continuous()中的labels参数期望的是一个函数而非一个实际的标签值作为其输入，引起使用percent()不是一个好的选项。不过好在scales包也提供了另一个percent_format()函数，它可以返回一个已经更改过默认值的percent()函数。Some common formats are built into the scales package: x <- rnorm (10) * 100000 y <- seq (0, 1, length = 10) p <- qplot (x, y) library (scales) p + scale_y_continuous (labels = percent) p + scale_y_continuous (labels = dollar) p + scale_x_continuous (labels = comma) # qplot allows you to do some of this with a little less typing: # * axis. Hi @MauritsEvers I have added a second plot to hopefully show better. A scaling factor: x will be multiplied by scale before formatting. 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. Other functions like scale_x_log10(), scale_x_reverse() transform the data,. Sorted by: 39. Faceted plots in ggplot2 apparently require the same scale parameters. When displaying counts, we want to think about the major. As a matter of course, I recommend commas in plots (and tables) at all times. 6 of a category to the width to either side. Example 1: Modify Minor Grid Lines on X-Axis of ggplot2 Plot. scale_continuous GGPLOT - scale_continuous Position scales for continuous data (x & y) and then convert them with ggplotly. From experience, I wrote how I’d shown a chart over many years of the regional mortality with the left axis and the Trust mortality numbers on. Unlike other continuous scales, secondary axis transformations for date and datetime scales must respect their primary POSIX data structure. This follows for all other places you define those limits. 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. 2), labels = c ("0. . . demo_datetime for data / time axes. comes up with error: Error: Discrete value supplied to continuous scale. expand_scale(mult = 0, add = 0) Arguments mult . e. ) only accepts a single scale. 1. If you want to remove missing values from a discrete scale, specify na. I had previously been doing this using: scale_x_discrete (labels=c ("old_label" = "new_label")) However, I cannot use both scale_x_discrete. g. 15,0)) works in many cases, but not all. Similar to what we’ve done in the first step, we will create another function, again using a series of if else statements, to “gradually” identify the individual facet panels based on their current tick breaks, and then set the new breaks for each of them. You should set the column containing dates to have date values instead of character strings and you should reshape the data so that a single column contains the region labels and a single column contains the values to be plotted.