4. 0. 6, 0. 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. This function is used in conjunction with a position scale to create a secondary axis, positioned opposite of the primary axis and then convert them with ggplotly. 5-1. Convenience function to return a scale_y_continuous function using percentage labels. Use guides() or the guide argument to individual scales along with guide_*() functions. In ggplot2 version 3. )). In the following. 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 (-. As long on the y-axis timedelta64 [ns] is used scaling did not work. Details. Description. Example: Convert Axis in ggplot2 to Percentage Scale. Set scale limits. ggplot2, rstudio. Value. It only works with facets where scales are free. I'm using the geom_smooth function for the regression line, but I need 2 regression lines (one for each species). lab = to prevent the scientific notation. y. combine_vars: Take input data and define a mapping between faceting. 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. I tried the digits=0 first but got a warning that it is now deprecated and to use accuracy instead. Measured data is. Learn how to customize the y-axis of a plot using the scale_y_continuous function in ggplot2 with examples and syntax. . This can be automated very easily using the tools R and ggplot provide. Colour gradients are often used to show the height of a 2d surface. 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. With the line plot I use the scale_y_continuous argument. y = after_stat (prop) which instead of the counts will map the prop ortions on y. Unlike continuous scales, discrete scales can easily show missing values, and do so by default. By default, any values outside the limits specified are replaced with NA. R. axis = dup_axis ()) + scale_y_continuous (sec. Variable data is continuous data, this means that the data values can be any real number like 2. 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. 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. 1) First we make a sequence between 0 and the maximum value of the x-axis, plus some extra padding ((x+1)*1. 1) Third, pretty() turns this sequence into a sequence of "pretty" values (meaning 1, 2, or 5 times a power. Lin. Note: My actual data. Based on these functions trans_new is defined. 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)))). *0. The key to using any of the scale_ functions is to know what sort of data you’re working with (e. Using scale_y_continuous & scale_y_reverse concurrently. Another option is to format your axis tick labels with commas is by using the package scales, and add. 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. This is always scales::rescale (), except for diverging and n colour gradients (i. Then I try to use the same exact argument with an area plot and it screws the plot up in a. 3. 1, date and datetime scales have limited secondary axis capabilities. #' example is using `scale_x_binned ()` with. translate. Here's the full code for the graph:This topic was automatically closed 21 days after the last reply. This is useful if the underlying data is very small or very large. markc1986 February 18, 2023, 12:16pm #6. Dynamic limits and breaks in scale_y_continuous. Now the column is of a class date. 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. , natural log) of the function to. 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. 5,6. You can also extend that end by a fixed amount: for instance, scale_y_continuous (expand = expansion (add = c (0, 5))) extends it by 5 units of space. 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. I am now trying to change the label of one factor. This is a convenience function for generating scale expansion vectors for the expand argument of scale__continuous and scale__discrete. 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. You can also extend that end by a fixed amount: for instance, scale_y_continuous (expand = expansion (add = c (0, 5))) extends it by 5 units of space. 이 예에서는 scale_y_continuous 를 사용하여 Y 축 레이블을. 2, 10, 32, 100), limits=c (0,100)), I get this: ibb. The breaks argument can be a function returning breaks from the given data, so you can set up a function to give a sequence of set length between its min and max values. axis which allows you to plot a second axis on the right-hand side of the plot. 0), breaks = seq (0, 1, . 1) First we make a sequence between 0 and the maximum value of the x-axis, plus some extra padding ((x+1)*1. The functions scale_x_continuous() and scale_y_continuous() are used to customize continuous x and y axis, respectively. New to Plotly? Plotly is a free and open-source graphing library for R. Adding another scale for 'y', which will #> replace the existing scale. count. scale_x_continuous and scale_y_continuous are the default scales for continuous x and y aesthetics. 10. Comes up with error: Error: Discrete value supplied to continuous scale. How can I display 1 decimal place so instead of 30k, I get 30. The limits of my graph are -1 and 1, but I want the scale to display the labels as absolute percentages i. scale_x_continuous(), scale_y_continuous()의 이해와 표현 ggplot() 함수와 함께 사용할 수 있는 scale_x_continuous(), scale_y_continuous() 함수는 연속하는 숫자형 변수 x,y에 대하여 각각 축의 스케일(scale),. 2. 2. )/sum (. scale_continuous GGPLOT - scale_continuous Position scales for continuous data (x & y) and then convert them with ggplotly. scale_y_continuous 用于设置连续 y 轴比例美学的值。该函数是 ggplot2 包的一部分，它主要与 ggplot 对象一起使用来修改要绘制的图形的不同参数。此示例演示如何使用 scale_y_continuous 将 Y 轴标签 scale_y_continuous を使用して、R の Y 軸のスケーリング比を設定する. , scale_colour_gradient2 () ,. See examples with ggplot objects and gridExtra package. I have tried several things, but does not work ( I believe I am using them in the wrong order/place) such as:1. (m <- qplot (rating, votes, data=subset (movies, votes > 1000), na. 5)) to the code I receive a warning message stating that it's removed 72 rows. 0. With scales you can make use of trans_new to define a new transformation. 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. Sorted by: 20. e. 1. upstartr (version 0. e. 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. . To set axis break, we use the breaks argument of the scale_x/y_continuous() function. In a plot, constructed with the use of ggplot2 package, for example, such one: ggplot (cars, aes (x = speed, y = dist))+geom_col () the axes can be transformed by applying appropriate directives. I train the model with 85% of the data, test on the remaining 15%, and repeat this 5 times, collecting actual/predicted values each time. R ggplot2 scale_y_continuous : Combining breaks & limits. 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. For position scales, The position of the axis. The most common continuous position scales are the default scale_x_continuous() and scale_y_continuous(). Feb 21, 2020 at 14:54. I can't figure out the correct combination of scale_y_continuous() and math_format() (at least I think those are what I need). sec_axis is used to create the specifications for a secondary axis. As of v3. , scale_colour_gradient2 () , scale_colour_gradientn () ). Below I've illustrated how this can be done using the mtcars dataset. The expansions vectors are used to add some space between the data and the axes. Often you may want to convert the x-axis or y-axis scale of a ggplot2 plot into a log scale. tidyverse. with the limits, breaks, and labels arguments), but sometimes you will need additional control over guide appearance. 2 Answers. ) where: breaks: A numeric vector of positions for breaks on the y-axis See moreLearn how to customize position scales for continuous data (x and y) using scale_x_continuous and scale_y_continuous functions. In most cases this is clear in the plot specification, because the user explicitly specifies the variables mapped to x and y explicitly. Find centralized, trusted content and collaborate around the technologies you use most. , grid. position. When asking a second question: Instead of pasting the answer in your post simply put a link to the first question/answer in the post. It may also be possible to use the. 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. Would be possible to manually define the 1. Please mark answers as accepted if they helped you to solve your problem. How to set the coordinate limits when x and y scales are very different? 1. 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. 3 within your app. Z. This example demonstrates the use of scale_y_continuous to print Y-axis labels as percentage values. 15 axis label scales. Scale transformation. For example, if by = 5, a tick mark is shown on every 5. I tried the methods listed in the other question posted above, but they didn't work for my case. The issue is that you are plotting the counts. q + geom_bar (position = 'dodge', colour = 'black') + scale_y_continuous (breaks = pretty_breaks ()) Still though, this doesn’t actually solve the issue - at a small enough scale, this does not force integers. The same could be achieved by using, e. 136. There are three ways to control the plot limits: Adjusting what data are plotted. 5. 2k 6 6 gold badges 54 54 silver badges 94 94 bronze badges. You can instead set the limits and specify comma-separated labels in a single call to scale_y_continuous:1 Answer. Any help on how to put the Y label to work will be of great help. library (ggplot2) ggplot () + geom_col ( data = f400weight, aes (factor (month), avg_weight, fill = factor (fruit_origin. Jul 30, 2020 at 21:12 | Show 1 more comment. As your day Dia is already in POSIXct format, I used scale_x_datetime. axis= argument is for the second y scale. I'm trying to reverse the y-axis of a plot. If you want to treat them as discrete, convert to a factor. 0. ) and as a function labels = percent. v of ggplot2 (Now available in the CRAN version); install. A set of functions to format numeric values: number_format() and number() are generic formatters for numbers. These functions are used to set the following arguments: name, breaks, labels, limits, na. scale_x_continuous and scale_y_continuous are the default scales for continuous x and y aesthetics. However, based on the data, if the maximum return (y) is high (as shown in the diagram below, 6%), then the scale of secondary y-axis will exceed 1 (since it depends on primary y-axis), which is not an ideal situation for presentation. excluding any data points outside that range), whereas coord_cartesian changes the plotting range after any calculations. Details. vector of multiplicative range expansion factors. This censors (replaces with NA) any values that are outside the axis limits, which includes the 0 which should be the ymin column. scale_y_continuous (breaks= seq (0,1,by=0. When you use limits= inside the scale function, data are subsetted in that diapason. R ggplot2 scale_y_continuous : Combining breaks & limits. Plot with desired y-axis line, but non-visible label over bar. p1 <- p1 + scale_y_continuous(limits =c(lower. Sorted by: 39. You can add labels to show Month Day using date_format from scales package. + scale_y_continuous(labels = scales::percent) However I have not been able to find how to do this in Plotnine. Thank you for your help. In ggplot2 you can specify formats in 2 ways. Provide some indication of the break in scale. When displaying counts, we want to think about the major. 0+ you can specify separate expansion values for the upper and lower limit of the scales. The exponential constant e is positive, and y is just an exponent. 4) for 40%: You can use the scale_y_continuous () function in ggplot2 to customize the y-axis of a given plot. 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. . a grid::unit() object specifying the length of the middle tick. Every continuous scale takes a trans argument, allowing the use of a variety of transformations: The transformation. 05). Your Answer Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. 1). In most. 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 =. Collectives™ on Stack Overflow. まず、軸に制限をかけずに散布図を見てみましょう。. Version: Français. Just change the first part toJust calling scale_y_continuous doesn't scale the axes, your call to breaks just specifies where on the current scale they should be set. ) -$1 and ($1). 3 etc. To do so use scale_y_continuous () with. labels of datetime axis, just like using the date_breaks and date_labels argument in scale. 1 unit_format {scales} has been retired; label_number {scales} is the replacement function. 5g", x)}. The labels argument is the one used to customize the labels, where you can input a vector with the new labels or a custom labeller function as in the example below. The ggh4x package has a few additional axes described further on. 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. 3, 0. 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. ) 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. In ggplot2 you can specify formats in 2 ways. Is there a way around this conflict? Is there a way to set the upper limit of ylim with an arithmetic expression. The function scale_y_continuous allows for functions to be used for the labels argument. 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. 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. by default multipled by 0. y. In this article, you will learn how to set ggplot breaks for continuous x and y axes. I have both continuous and discrete variables in my plot but the "x-axis" only contains a continuous variable. library (ggplot2) library (lemon) ggplot (diamonds, aes (x=price, fill=cut)) + geom_histogram. Camilo Ramirez Camilo Ramirez. 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='. 7 Making a Stacked Bar Graph. FollowGuides: axes and legends. . #' continuous position data. 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. I can either trans = l / 1000 or paste0 (l, "K") but if I try. If you haven’t done this before, you define that you want a secondary axis with the sec_axis argument to scale_y_continuous. 3)) pFrom the help for ?scale_y_continuous, the argument 'labels' can be a function:. –. Control of the x and y axes for continuous variables is done with the functions scale_x_continuous and scale_y_continuous. This is always a good idea as it assists the reader in quickly determining the magnitude of the numbers we are looking at. If you have a query related to it or one of the replies, start a new topic and refer back with a link. On a log scale there is no 0, therefore the only sensible place for bars to start from is y = 10^0 or 1. When I try: scale_y_continuous (labels = scales::percent) I get for my 100 --> 10000% instead of 100%. 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. See examples of different values for the argument trans, such as log2, log10, sqrt, and reverse. I want the breaks for the y-scale to be (1) mean-2SD, (2) mean and (3) mean+2SD. The question asks how to plot a graph with a y axis in percentage using. coord_cartesian () just zooms that region of values. 1 Answer. scale_y_continuous 는 연속적인 y 축 스케일 미학을위한 값을 설정하는 데 사용됩니다. You can manually adjust the yscale with. The default replaces out of bounds values with NA. The numbers are already in % but without such symbols. 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. For this reason, the ggsurvfit() and ggcuminc() functions do not modify the default {ggplot2} scales; rather, all. library (ggplot2) library (scales) nminor <- 7 nmajor <- 5 ggplot (iris, aes (x = Species, y = Sepal. The plots in this section use the surface of a 2d density estimate of the faithful dataset, 35 which records the waiting time between eruptions and during each eruption for the Old Faithful geyser in Yellowstone Park. 1) Description Usage Arguments. 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. sec_axis is used to create the specifications for a secondary axis. specifying number of breaks with scales in ggplot2 without a transform? 9. 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. Hi @MauritsEvers I have added a second plot to hopefully show better. There is a solution that don't require scales library. Horizontal plots can be created using the function coord_flip () [in ggplot2 package]. Using scale_y_continuous & scale_y_reverse concurrently. 8, "1. Check the Help tab for. This is cumbersome to type,. The defaults are to expand the scale by 5% on each side for continuous variables. 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. One that I tried to use was this example bellow but gives me very different scales. Can be used to increase the number of x and y ticks by specifying the option n. The easiest and quickest and nicest way to fix these long labels, though, is to use the label_wrap () function from the scales package. 0,0)) + ylim(0,15) Now, the histogram is no longer sitting on the x-axis. 2 Zooming. I have used the exact same code in other plots without having to use “round. You give it a way to find the appropriate panel cond == "C" and give it a different label function than the default scale. The scales package, a ggplot2 dependency 4, makes it incredibly easy to reformat x and y axis labels (among other things). These functions share common API deisgn, with the first argument specifying the limits of the. You should remove limits= from scale_y_continous () and use coord_cartesian () with ylim= instead. 5), limits = c(0, 1. R ggplot2 scale_y_continuous : Combining breaks & limits. To fix this problem, the expand argument within the scale_y_continuous section needs to be set to "c(0. There are different types of layers, each. 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,. count. 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. limit,upper. is the data already log-scaled? This should be TRUE (default) when the data is already transformed with log10() or when using scale_y_log10(). The first way is to modify the scale, and the second is to apply a coordinate transform. scale_y_continuous는 연속적인 y 축 스케일 미학을위한 값을 설정하는 데 사용됩니다. This will extend only the right end of your Y-axis by 10% (. should hide the outliers. This release added a number of useful new features. don't provide any label text. Based on these functions trans_new is defined. I would like the numerical value yielded from seq(0,80,5) to appear in both lines, but with % written. A date-time value will create a continuous date/time scale. 5 x 10^-4, etc. breaks. 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. d1 = data. The functions scale_x_continuous() and scale_y_continuous() are used to customize continuous x and y axis, respectively. For facet_grid, the scales are used for the rows and columns. To this end, you use the function trans_new() from the scales package. Note that if any scale_y_continuous command is used, it overrides any ylim command, and the ylim will be ignored. Position scales for continuous data (x & y) Description. scale_y_discrete ignores breaks/labels. 6. 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. 1))) does the job. This censors (replaces with NA) any values that are outside the axis limits, which includes the 0 which should be the ymin column. 1. 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. 05)) to the plot. When displaying counts, we want to think about. 15,. How to Include Reproducible R Script Examples in Datanovia Comments. residuals. 0 "You Stupid Darkness" / RStudio 1. The ylim() function is equivalent to using the limits argument in scale_y_continuous(). Learn how to use the scale_y_continuous function in ggplot2 to change the range of a continuous y axis. Now I try to transform the Y axis according to the distribution used. 14. 4-1. A volcano plot depicts: ; Along its x-axis: log_fc i. line. 5)) + scale_y_continuous(breaks = seq(-17. A numeric value will create a continuous scale. I am able to get a plot however when I add scale_y_continuous(breaks = c(0, 0. mid. 1) Third, pretty() turns this sequence into a sequence of "pretty" values. For changing x or y axis limits without dropping data observations, see coord. . They take the following arguments: name; limits; breaks; labels; position; Let us continue with the scatter plot we have used in previous chapter. A set of functions to format numeric values: number_format() and number() are generic formatters for numbers. The scale_x_continuous () and scale_y_continuous () methods can be used to disable scientific notation and convert scientific labels to discrete form. Step 2. 1. For simple manipulation of scale labels and limits, you may wish to use labs () and lims () instead. 1 Making a Basic Line Graph. scale_x_continuous () and scale_y_continuous () are the default scales for continuous x and y aesthetics. continuous. 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 rescaler is ignored by position scales, which always use scales::rescale (). g. 1 Continuous Axis. Learn how to use the scale_y_continuous function in ggplot2 to change the range of a continuous y axis. e. answered Jan. This gives me a graph that looks like the graph I would want, except for the y-label is not accurate; is there a way to brute force the y-axis label to be 1-7? Code for 1st graph:You can add a breaks =. 1. Use scale_y_continuous para imprimir etiquetas do eixo Y como porcentagens em R. The defaults are to expand the scale by 5% on each side for continuous variables. This data is measured on a continual scale like distance, time, weight, length etc. - 8*60*60. . Hi guys! Really struggling with this one and it feels like a small mistake but can't figure it out. 5. , date, continuous, discrete). 1 Answer. 15), expand=c (0,0)) Also consider adding theme_bw () for a cleaner look. An. Scaling in the example above did not work due to the data types used. However, scale_y_continuous() expects a function as input for its labels parameter not the actual labels itself. A scaling factor: x will be multiplied by scale before formatting. scale_y_continuous() and scale_y_discrete() are the equivalent functions for the y-axis. Source: R/scale-discrete-. See how to. Another alternative is to add coord_cartesian (ylim = c (20, 73)) to your code. scale_y_continuous() and scale_y_discrete() are the equivalent functions for the y-axis. 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. In this example, scale_ specifies a scale function, fill is the aesthetic to adjust, and manual is the prepackaged scale to use. 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. scale_y_log10 (**kwargs) Continuous y position log10 transformed scale. #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. Francesco1 August 13, 2021, 1:27pm #1.