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. If you specify 2 scales, e. 4) for 40%: You can use the scale_y_continuous () function in ggplot2 to customize the y-axis of a given plot. @konvas If I use scale_y_continuous (breaks = c (0, 1, 3. You can use the scale_x_continuous() function in ggplot2 to customize the x-axis of a given plot. ggplot(df, aes(x=Effect2, y=OddsRatioEst)) + geom_boxplot(outlier. The guides (the axes and legends) help readers interpret your plots. Scales. Setting range and breaks on scale on ggplot2. + scale_y_continuous(labels = scales::percent) However I have not been able to find how to do this in Plotnine. 5), to change them to the range you. In ggplot2 version 3. This is a convenience function for generating scale expansion vectors for the expand argument of scale_ (x|y)_continuous and scale_ (x|y)_discrete. limit,upper. scale_y_continuous. If the larger value comes first, the scale will be reversed. Colour gradients are often used to show the height of a 2d surface. Sorted by: 20. call it throws an error, even though (I think) these are equivalent. I am trying to insert the symbol "%" in the Y-axis of my graph. I changed your first y scale name to correct that. Source: R/scale-expansion. If you want to control the range of the x data, and the number of breaks, put both inside scale_x_continuous. As long on the y-axis timedelta64 [ns] is used scaling did not work. frame has only 2 rows. a grid::unit() object specifying the length of the short tick marks. Therefore scales::dollar_format can't work, because it isn't a number. Compare. This is always scales::rescale (), except for diverging and n colour gradients (i. Instead of changing the data (mutate(y = y / 10^6)), the scale argument can be used to do conversion on the fly : scale_y_continuous(labels = unit_format(unit = "M", scale = 1e-6)) – bug313. As of v3. There are three variants that set the trans argument for commonly used transformations: scale_*_log10 (), scale_*_sqrt () and scale_*_reverse () . flip = TRUE in the function stat_pvalue_manual () [in ggpubr package]. Dec 13, 2018 at 5:22. Example: Convert Axis in ggplot2 to Percentage Scale. This follows for all other places you define those limits. 0. 14. axis = sec_axis (~. ; Mappings Variables are mapped to visual attributes, called aesthetics. Sorted by: 1. waiver() for the default labels computed by the transformation object. Comes up with error: Error: Discrete value supplied to continuous scale. The functions scale_x_continuous() and scale_y_continuous() are used to customize continuous x and y axis, respectively. I start with theme_classic() then make modifications using theme(). Sorted by: 39. They use a chart from the Twitter IPO as an example. ggplot2 removes rows of data which are in specified x-axis range. To this end, you use the function trans_new() from the scales package. breaks and 2. The x and y parameters can be modified using these. This answer is out of date for ggplot2 version 0. value, trans. scale_y_continuous() and scale_y_discrete() are the equivalent functions for the y-axis. scale_y_continuous を利用して y 軸のスケールと増分値を設定し、次のラベルを出力することもできます。seq 関数は、scale_y_continuous 呼び出しの breaks パラメーターに数列を渡すために使用されます。 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 = NULL) In ggplot, there are two ways of setting the range of the axes. Doing so however makes the larger scale a mess. Provide some indication of the break in scale. Often you may want to convert the x-axis or y-axis scale of a ggplot2 plot into a log scale. right = element_line (color = "red")) Maybe there is a. actual values side by side with a plot of predicted value vs. scale_x_discrete () and scale_y_discrete () are used to set the values for discrete x and y scale aesthetics. Source: R/scale-discrete-. 1 unit_format {scales} has been retired; label_number {scales} is the replacement function. , date, continuous, discrete). I tried the digits=0 first but got a warning that it is now deprecated and to use accuracy instead. 90. e. x*800/50 does. breaks. comma_format() and comma() format numbers with commas separating thousands. The dotted line would therefore look higher on the y-axis and differences between 1 and 2 would be noticeable. 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). ). p + scale_x_continuous(breaks = seq(70, 105, 5), limits = c(80,90)) + scale_y_continuous(breaks = seq(70,105,5)) + #ylim is shorthand but will replace previous specification ylim(c(70,105)) #> Scale for 'y' is already present. To do so use scale_y_continuous () with. p = ggplot (mydataf, aes (x = foo)) + geom_bar (aes (y = (. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0. New replies are no longer allowed. Everything works fine except that I can't figure out how to round the numbers used in the data labels. Second. 25)). Your bars starts at 0 point and therefore are removed because minimal y value is set higher. labels = c ("30 %", "40 %",. 1) Arguments. 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. We can use the R Package scales to format with dollar symbol. Setting range and breaks on scale on ggplot2. Dynamic limits and breaks in scale_y_continuous. let me look. 14. 3) Example 2: Set Y-Axis to Percent with User-Defined Accuracy. Add in your limits, limits = c(0, . All label_ () functions return a "labelling" function, i. the -log10-transformed adjusted p-value. Using the following code I get the result displayed at the end of the code. How to set the coordinate limits when x and y scales are very different? 1. 5), limits = c(0, 1. library (dplyr) library (ggplot2) mtcars %>% count (cyl) %>% mutate (prop = n / sum (n)) %>% ggplot (aes (x = cyl, y = prop)) + geom_point () + scale_y_continuous. This works perfectly! But now, I want to categorise the items in the histogram, as follows: ggplot (contig_len, aes (x = Length, fill = Prevalence)) + geom_histogram (binwidth=200, alpha=0. To fix this problem, the expand argument within the scale_y_continuous section needs to be set to "c(0. This will extend only the right end of your Y-axis by 10% (. Example: Convert Axis in ggplot2 to Percentage Scale. I used the following "scale_y_continuous (labels = scales::comma, accuracy=1. In the scale_y_continuou () function there is an argument sec. . 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. Set up data: set. The ggplot capability to allow secondary axes (from version 2. The suffix is applied to absolute value before style_positive and style_negative are processed so that prefix = "$" will yield (e. Here's an example with the diamonds dataset. However, sometimes it may be preferable to adjust only one side of an axis and keep the default value for the other side. and by mathematical definition: log (x) = y <==> x = e^y. 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. As a consequence, the rectangles can't be drawn. 2. packages ("devtools") devtools::install_github ("tidyverse/ggplot2") library (ggplot2) p + theme ( axis. 3. mark =…This is clearly a logarithmic scale, and if you want to emulate it you cannot use a sqrt() transformation. Z. 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. 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. Here is the issue: I am using ggplot to to make a graph in which the x axis ranges from -90 to 90 degrees. . mid. 1) Description Usage Arguments. 2 Adding Points to a Line Graph. 05, 0)", instead of "c(0, 0)". Improve this answer. 4, by=0. )) to specify the labels, as well as ggplotly (p, tooltip = c ("text")), to let plotly know to use the text parameter to create the tooltips. 2 Answers. The truncated look of the axis can be replicated with ggh4x::axis_truncated () (disclaimer, I'm the author of that function). For the example you include, here is some code that will create a custom tooltip. Every continuous scale takes a trans argument, allowing the use of a variety of transformations: The transformation. We need dig. Learn how to customize the y-axis of a plot using the scale_y_continuous function in ggplot2 with examples and syntax. For example, if by = 5, a tick mark is shown on every 5. e. If you want to treat them as discrete, convert to a factor. ggplot2: change break points of discrete scale to be between two break points. In ggplot2 you can specify formats in 2 ways. Scaling in the example above did not work due to the data types used. 0,0)) + ylim(0,15) Now, the histogram is no longer sitting on the x-axis. p + expand_limits(y = 0) + scale_y_continuous(expand = c(0. You will also need to specify that this should be applied to the limits= argument. 1). In most cases this is clear in the plot specification, because the user explicitly specifies the variables mapped to x and y explicitly. 1. scale_x/y_continuous breaks by n in R ggplot2? 1. , grid. @cfosser you can specify limits for the y axis in the call to scale_y_continuous, e. Of course, the relative scales for the two y-axis values are different (actually should be "adjusted" according to the y values in the first dataset. Below I've illustrated how this can be done using the mtcars dataset. This can be automated very easily using the tools R and ggplot provide. , scale_colour_gradient2 () , scale_colour_gradientn () ). Continuous y position for datetime data points. For facet_grid, the scales are used for the rows and columns. 9%) or perhaps just to 51% (depends on what looks best). . labels of datetime axis, just like using the date_breaks and date_labels argument in scale. breaks, labels, limits,. 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. # Show colorbar guide for colour. scale_x_continuous() and scale_y_continuous() are the default scales for continuous x and y aesthetics. 0), breaks = seq (0, 1, . Basics. 4. If you want to have the axis limits 400-2800, the proper syntax is c (400, 2800). You can add linetype inside aes in your geom_line call to create a separate legend for the line then move its legend closer to fill legend. This is useful for scales which span. Note: The transformation -log10(adj_p_val) allows points on the plot to project upwards as the fold change increases or decreases. See how to set custom axis breaks, number of breaks, labels and limits for different scenarios. See Also. Syntax: scale_x/y_continuous( limits, breaks) Parameters: limits: determines the limits of the x or y-axis. Share. I am making a chart with ggplot and can control the y axis minor grid lines. right = element_line (color = "red"), axis. I want to do this inside a ggplot: scale_y_continuous (labels = function (l) { trans = l / 1000, paste0 (l, "K") }) If I add either of the two commands alone, it works, i. 0"), limits = c (-0. A question was posed on the NHS-R Slack asking for help to code 2 scale y axes on a {ggplot2} chart. Unlike other continuous scales, secondary axis transformations for date and datetime scales must respect their primary POSIX data structure. axis is: scale_y_continuous (sec. scale_x_continuous() and scale_y_continuous() are the default scales for continuous x and y aesthetics. scale_x_continuous () and scale_y_continuous () are the default scales for continuous x and y aesthetics. The most common continuous position scales are the default scale_x_continuous () and scale_y_continuous () functions. 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. I have both continuous and discrete variables in my plot but the "x-axis" only contains a continuous variable. original: library (scales) library (ggplot2) ggplot (df1, aes (x = Timestamp, y = number)) + geom_line (size=2) + geom_point (size=5) + scale_y_continuous (breaks = seq (0, 50, by = 2)) + scale_x_datetime (breaks = date_breaks ("1 day")) If you want to change how the date is displayed in the label, you can use date_format inside the scale_x. By default, any values outside the limits specified are replaced with NA. When displaying counts, we want to think about the major. Beyond this , I also have a requirement to limit the y-axis to avoid displaying values beyond a range. library (ggplot2) p <- ggplot ( mtcars. . Hi there, I need some help. 3, scale_y_continuous (expand = expansion (mult = c (0, . 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. Disclaimer: I'm the author of ggh4x. breaks without scale_y_continuous() in ggplot2. The following performs a Mercator transform to the y-axis. 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. + coord_sf(expand = F) + scale_x_continuous(breaks = c(33. I am just guessing without any data but maybe try. Unlike most {ggplot2} functions, scales are not additive. 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. 6. In the example below the transformation for the secondary axis. + scale_y_continuous(labels = scales::percent) The following example show how to use this syntax in practice. 4. p1 <- ggplot (mpg, aes (displ, hwy)) +. Starting by defining the function to transform the axis, the definition of its inverse is also required. 2 Continuous colour scales. As you can see, I currently have two independent lines on the x-axis as currently written with labels = paste0("LN: LND: ", paste0(seq(0,80,5)))). 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='. 9. And yes, an exponential function will look like a straight line on a logarithmic plot, that is kind of the whole purpose of it. A question and answers forum for R users to share and discuss their code and problems. Cómo crear una escala logarítmica en ggplot2. A function used to scale the input values to the range [0, 1]. See how to. – Jon Spring. 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 scale6. This started happening a few days ago, that scales::percent would add a decimal place in its labels, and I can't seem to disable this decimal to display integer values on y-axis. If it is logical, the TRUE means the default of ggplot2 (foregoing statement), and FALSE means no expand for the plot. g. Starting by defining the function to transform the axis, the definition of its inverse is also required. 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. But you can also define custom transformation functions by supplying the trans argument to scale_y_continuous() (and similarly for scale_x_continuous()). 4-1. 在 R 中使用 scale_x_discrete 的 x 轴上显示元素的子集. 1, date and datetime scales have limited secondary axis capabilities. Learn how to customize the default position scales for x and y aesthetics in ggplot2 using scale_continuous() function. You can set the number of breaks in this function, and make the number of minor_breaks a integer multiple of the number of breaks. Mar 18, 2022 at 14:05. An introductory book for health data science using R. )). ) only accepts a single scale. Value. prettyNum will start using scientific notation from 1e-4 and below. 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. And this is the resulting chart: By the way, if you’re having trouble understanding some of the code and concepts, I can highly recommend “An Introduction to. 5, 1, 1. Using scale_y_continuous & scale_y_reverse concurrently. If you haven’t done this before, you define that you want a secondary axis with the sec_axis argument to scale_y_continuous. These functions share common API deisgn, with the first argument specifying the limits of the scale. For facet_wrap, the scales are used for each individual panel. 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. 4) Video & Further Resources. 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. 이 함수는ggplot2 패키지의 일부이며 대부분ggplot 객체와 함께 사용되어 그릴 그래프에 대해 다른 매개 변수를 수정합니다. 01. Every plot has two position scales, corresponding to the x and y aesthetics. First, how does round the number in the data label. the blank space among the. I would like to fix the secondary axis from 0 to 1 since the probability is always range from 0 to 1. binned_scale: Binning scale constructor; borders: Create a layer of map borders; calc_element: Calculate the element properties, by inheriting properties. demo_discrete () for discrete axes. ternatively, you can use the function scale_y_continuous(trans = "log10"), which allows to transform breaks and the format of labels. 1 Answer. 6 units on each side for discrete variables. RDocumentation. 15,0)) works in many cases, but not all. y = after_stat (prop) which instead of the counts will map the prop ortions on y. scale_x_discrete 函数的另一个有用功能是从 x 轴消除一些元素并仅绘制其中的少数元素。 在这种情况下，我们使用 PlantGrowth 数据集，其中列出了三类组。 因此，我们可以输出只有 trt2 和 trt1 组的箱线图，如下面的代码片段所示。Option F: Automatically add line breaks. A short cut for this is to use the 'function' scale, and pass as extra arguments a forward and an inverse function. As Axeman noted, specifying limits in scale_y_continuous () would limit the y-axis. The expansions vectors are used to add some space between the data and the axes. 1))) does the job. Setting xlim and ylim in coord_cartesian () To zoom in on a region of the plot, it’s generally best to use coord_cartesian (). Details. This code works for me: library (scales) scale_x_continuous (breaks = trans_breaks (identity, identity, n = numticks)) of course you can always set the tick marks explicitly with breaks =. My goal is to round to either 1 decimal (51. Setting xlim and ylim in coord_cartesian () To zoom in on a region of the plot, it’s generally best to use coord_cartesian (). specifying number of breaks with scales in ggplot2 without a transform? 9. The function scale_y_continuous allows for functions to be used for the labels argument. 6) for discrete variables. Here is an example:The location of the tick marks will be chosen automatically, but you can customize it if you want with the breaks argument of scale_y_continuous. If it helps, I used the following data for p1:Description. , scale_colour_gradient2 () , scale_colour_gradientn () ). Is there a way around this conflict? Is there a way to set the upper limit of ylim with an arithmetic expression. fortify () turns objects into tidy data frames: it has largely been superceded by the broom package. A numeric value will create a continuous scale. Possible values for labels are comma, percent, dollar and scientific. 2, 10, 32, 100), limits=c (0,100)), I get this: ibb. breaks: determines the axis breaks of the x or y-axis. (m <- qplot (rating, votes, data=subset (movies, votes > 1000), na. stats() to get. scale_y_continuous in ggplot2 How to use logarithmic scales with ggplot2 axes. When displaying counts, we want to think about. 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. A menudo, es posible que desee convertir el eje x o la escala del eje y de un gráfico ggplot2 en una escala logarítmica. This is the basic boxplot that we will work with, using the built-in PlantGrowth data set. 6 units on each side for discrete variables. The use of ggplot2::sec_axis is straight-forward once you realize that it is 100% cosmetic, no data is changed or otherwise accommodated with it. #' Positional scales for binning continuous data (x & y) #'. povcalnetRThe scales scale_colour_continuous() and scale_fill_continuous() are the default colour scales ggplot2 uses when continuous data values are mapped onto the colour or fill aesthetics, respectively. 2 on) is mostly a labelling benefit. 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. super. g. 3. R ggplot2 scale_y_continuous : Combining breaks & limits. This can be done easily using the ggplot2 functions scale_x_continuous() and scale_y_continuous(), which make it possible to set log2 or log10 axis scale. Hi, Im tring to create ggplot graph with secondary axis. . Formatting of axes labels is possible to convert the scientific notation to other formats. There are three variants that set the trans argument for commonly. g. na. + scale_y_continuous(labels = scales::percent) Or, to specify formatting parameters for the percent: + scale_y_continuous(labels = scales::percent_format(accuracy = 1)) (the command labels = percent is obsolete since version 2. This answer is out of date for ggplot2 version 0. This can be done easily using the ggplot2 functions scale_x_continuous() and scale_y_continuous(), which make it possible to set log2 or log10 axis scale. Most tutorials solely focus on the x-axis. The rescaler is ignored by position scales, which always use scales::rescale (). I tried the methods listed in the other question posted above, but they didn't work for my case. Right now the axis is between 0. The first way is to modify the scale, and the second is to apply a coordinate transform. 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. Note that if any scale_y_continuous command is used, it overrides any ylim command, and the ylim will be ignored. 6 of a category to the width to either side. e. This is a convenience function for generating scale expansion vectors for the expand argument of scale_ (x|y)_continuous and scale_ (x|y)_discrete. from 100% on the left over 0% in the center to 100% on the right. Here is a solution that works with ggplot2 version 3. Feb 21, 2020 at 14:54. There are three variants that set the trans argument for commonly used transformations: scale_*_log10 (), scale_*_sqrt () and scale_*_reverse () . 1,1), expand = c (0,0)) and I get this as the result. and then also expanded (in line with expand =. Depending on the class at hand, axis ticks and labels can be controlled by using scale_*_date, scale_*_datetime or scale_*_time, respectively. I solved my own problem. Sorted by: 2. 1. Fortunately, the scales package offers a function called percent_format() that returns the percent() function with changed defaults. 1. . If you have a query related to it or one of the replies, start a new topic and refer back with a link. 05, 0) for continuous variables, and c (0, 0. Adding another scale for 'y', which will #> replace the existing scale. R ggplot2 scale_y_continuous : Combining breaks & limits. R ggplot2 scale_y_continuous : Combining breaks & limits. 15 axis label scales. The simplest way is to use the scales package, which provides some easy-to-use formatting functions, such as percent and percent_format. 3. . Como alternativa, podemos remover totalmente os rótulos no eixo y usando a função scale_y_continuous. The appearance of the legend can be controlled using the guide_colourbar () function. ))) + scale_y_continuous (formatter = 'percent') if your data has NAs and you dont want them to be. In this particular case we have it fairly easy. 3. – r2evans. Use scale_y_continuous para imprimir etiquetas do eixo Y como porcentagens em R. 5. Step 2. 使用 scale_y_continuous 将 Y 轴标签打印为 R 中的百分比. , natural log) of the function to. limit) ) However, the observation is that when the limits are applied, the mean value as shown in the plot is different from the case where limits are not applied. You can leave one value as NA if you want to compute the corresponding limit from the range of the data. One useful feature of these functions is to allow for each facet to have a differently scaled y or x axis. By default, the y-axis shows breaks at 20, 40, 60, and 80. 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. Your Answer Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Description. However, we can use the scale_y_continuous() function to display breaks at every 10 values instead: #create scatterplot of x vs. 0 using sec_axis (), and which only requires creating a single plot. #' example is using `scale_x_binned ()` with. frame like this, but I find it hard to specify the breaks in scale_y_discrete inside the dplyr pipeline. The examples demonstrate their use with x scales, but they work similarly. The ggh4x package has a few additional axes described further on. Share. + hms::hms(days = 8), or ~ . Share. 3, 0. 2. Examples. demo_discrete () for discrete axes. Similarly, the scale_discrete function for discrete variables adds 0. Share. Draw a basic volcano plot . combine_vars: Take input data and define a mapping between faceting. A character vector giving labels (must be same length as breaks)Customize a continuous axis. In my eyes, the ideal solution is for the ggplot2 developers to add an argument to scale_x_continuous or scale_y_continuous ggplot2 functions that takes a user-defined value for the number of unlabelled minor ticks the user would like to add to their plot axes, which then takes the vector supplied to the 'breaks' argument and determines 'major. The only way around this is to use a small variable for by in seq e. I would like the numerical value yielded from seq(0,80,5) to appear in both lines, but with % written. The issue is that you are plotting the counts. scale_x/y_continuous breaks by n in R ggplot2? 1. 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 =. The axes cover the whole range by default, whith a bit of space added at the edges. 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. ggplot2: change break points of discrete scale to be between two break points. )) would restrict the range of values passed to ggplot. The function is part of the ggplot2 package, and it’s mostly used with ggplot objects to modify different parameters for graphs to be drawn. The defaults are to expand the scale by 5% on each side for continuous variables. There is a solution that don't require scales library. arrange. 006) round to 0. 2. But what do I have to do to contol the y axis major grid lines as well so they are not set automatically (for example in units of 10s, so lines and y unit labels at 10,20,30 etc)? I tried major_breaks = seq(0 , 100, 10) but it did not work. EDIT: If you want to filter out the .