text. 10. Labelling functions are designed to be used with the labels argument of ggplot2 scales. library (reshape2) library (tidyverse) ggplot (data = df_bar, aes (x = period, y = value, fill = variable)) + geom_bar (stat = "identity", position = "dodge") + theme (axis. 4. I'm using the geom_smooth function for the regression line, but I need 2 regression lines (one for each species). Position scales for continuous data (x & y) Description. It doesn't need necessarily be a solution to the scale_y_continuous issue. First, how does round the number in the data label. Hi John_Erick. 4) for 40%: You can use the scale_y_continuous () function in ggplot2 to customize the y-axis of a given plot. FollowGuides: axes and legends. Deep Learning with Python by François Chollet. See the arguments, examples and built-in transformations for each variant. So an example in ggplot might look like. 0. 2), labels = c ("0. + 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for the percent: + scale_y_continuous(labels = scales::percent_format(accuracy = 1)) (the command labels = percent is obsolete since version 2. 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. scale_y_continuous. Here is an approach using dig. Learn how to customize the default position scales for x and y aesthetics in ggplot2 using scale_continuous() function. Measured data is. Value. With scales you can make use of trans_new to define a new transformation. 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. The expansion vectors are used to add some space between the data and the axes. scale_y_reverse (**kwargs) Continuous y position reverse transformed scale. 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=' log10 ') 2. 0+ you can specify separate expansion values for the upper and lower limit of the scales. I would like to plot ONLY y-axis1 DATA (left axis, Var1, dotted line) as a log10 scale. Setting range and breaks on scale on ggplot2. 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. p1 <- p1 + scale_y_continuous(limits =c(lower. Syntax: scale_x/y_continuous( limits, breaks) Parameters: limits: determines the limits of the x or y-axis. )) 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. 4 Line Graphs. Follow edited Jun 18, 2014 at 15:25. Additional text to display before the number. The same thing happen with the secondary y-axis, the limits for the secondary-y axis goes from 40 000 to 240 000 with 40 000(increment of sequence) instead of going from 0 to 250 000 with 50 000(increment of sequence). Setting range and breaks on scale on ggplot2. 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. ggplot(df, aes(x=Effect2, y=OddsRatioEst)) + geom_boxplot(outlier. Unlike most {ggplot2} functions, scales are not additive. The first set of scales we will discuss correspond to plot position and axes. 6. . See examples of different values for the argument trans, such as log2, log10, sqrt, and reverse. the log2-transformed fold change. mark =…This is clearly a logarithmic scale, and if you want to emulate it you cannot use a sqrt() transformation. Trying to format y axis to display thousands to 1 decimal place. demo_discrete () for discrete axes. binned_scale: Binning scale constructor; borders: Create a layer of map borders; calc_element: Calculate the element properties, by inheriting properties. What am I doing wrong here? r; ggplot2; Share. Therefore the result looks like a single line. Modified 5 years, 8 months ago. )) would restrict the range of values passed to ggplot. 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. Scaling in the example above did not work due to the data types used. 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. 5, position="stack") + scale_y_continuous (trans = "log1p") This doesn't work, however, as the stacking is performed without taking the log scale into. If you specify 2 scales, e. And make another vector dummy2 that indicates the size of errorbar. 3, -20. 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). Setting the limits in each scale. scale_continuous GGPLOT - scale_continuous Position scales for continuous data (x & y) and then convert them with ggplotly. Add the dual axis. scale_x_continuous and scale_y_continuous are the default scales for continuous x and y aesthetics. 5. Sorted by: 39. timedelta64 (1, 's') The graph can properly scaled with:11. p = ggplot (mydataf, aes (x = foo)) + geom_bar (aes (y = (. Rd. – Jon Spring. I plot my data. In the simplest case they map linearly from the data. This censors (replaces with NA) any values that are outside the axis limits, which includes the 0 which should be the ymin column. I am creating a box plot in which I have used scale_x_reordered () after adjusting the order of factors on the x axis. I have successfully used a function to add degree symbols to the tick labels created by scale_x_continuous. Just to keep current, in ggplot2_0. scale_y_continuous(name="Fluorescent intensity/arbitrary units", labels = comma) to your ggplot statement. They use a chart from the Twitter IPO as an example. Sorted by: 10. 8, "1. 1. Second, for cases like this, you need to transform the values for the second axis with the inverse transformation as the axis itself. The expansions vectors are used to add some space between the data and the axes. The scales scale_colour_binned() and scale_fill_binned() are equivalent scale functions that assign discrete color bins to the continuous values. The basic steps involved are the same whichever graphics package you use: Transform the data into the Y scale that you want. 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. 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. Unlike other continuous scales, secondary axis transformations for date and datetime scales must respect their primary POSIX data structure. This will be specific to your color scale though and you will likely need to manipulate that line of code separately. These functions share common API deisgn, with the first argument specifying the limits of the scale. This is a convenience function for generating scale expansion vectors for the expand argument of scale_ (x|y)_continuous and scale_ (x|y)_discrete. Reversing the date order is currently yet not supported in ggplot2, as stated in this GitHub issue. 2 Answers. 1 The “tidy” approach to data visualization. R ggplot2 scale_y_continuous : Combining breaks & limits. flip = TRUE in the function stat_pvalue_manual () [in ggpubr package]. 05)) to the plot. limit,upper. The limits of my graph are -1 and 1, but I want the scale to display the labels as absolute percentages i. 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. ggplot2 の scale_x_continuous で x 軸の限界を設定する. coord_cartesian を用いて ggplot2 の両軸を制限する. Unlike continuous scales, discrete scales can easily show missing values, and do so by default. 4. xlim is a shortcut to the limits term of scale_x_XXXX, and it will overwrite any prior x scale settings. The custom breaks function is required because when you call breaks=pretty_breaks () this is passed the limits of the plot, but these limits are both, already adjusted by the limits=. i. To remove this gap currently one has to add scale_y_continuous(expand = expansion(c(0, 0. ))) + scale_y_continuous (formatter = 'percent') if your data has NAs and you dont want them to be. continuous_scale: Continuous scale constructor; coord_cartesian: Cartesian coordinatesThe "error" you discussed is actually just a warning, because you used both ylim and then scale_y_continuous. With toy data, things seem to work correctly, combining the scale_y_continus trans function with labels = 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. Use it when the ranges of your variables vary greatly and need to be freed. 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. 3)) p A function that takes the breaks as input and returns labels as output. p + expand_limits(y = 0) + scale_y_continuous(expand = c(0. Run this code. The rescaler is ignored by position scales, which always use scales::rescale (). Using the following code I get the result displayed at the end of the code. . How can I display 1 decimal place so instead of 30k, I get 30. A set of functions to format numeric values: number_format() and number() are generic formatters for numbers. Both of the following alternative formulations work: Option 1 is to not use scale_y_continuous (formatter=. Instead, sometimes you would like to have the y-axis with dollars. stats() to get. [See @user236321's answer for a more modern (post April 2022) answer. Using scale_y_continuous & scale_y_reverse concurrently. A function used to scale the input values to the range [0, 1]. 0. Example: Convert Axis in ggplot2 to Percentage Scale. limits = c(1e-5, 1e4). I am making a chart with ggplot and can control the y axis minor grid lines. This will extend only the right end of your Y-axis by 10% (. ) only accepts a single scale. The simplest way is to use the scales package, which provides some easy-to-use formatting functions, such as percent and percent_format. Note: In the examples below, where it says something like scale_y_continuous, scale_x_continuous, or ylim, the y can be replaced with x if you want to operate on the other axis. 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. You can instead set the limits and specify comma-separated labels in a single call to scale_y_continuous:1 Answer. ggplot2: change break points of discrete scale to be between two break points. scale_y_cut(breaks, which = NULL, scales = NULL, expand = FALSE, space = 0. R. 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. One solution that people sometimes use is a pseudo-log transform: x => sign (x) * log (1+abs (x)). Follow edited Oct 8, 2018 at 3:23. v of ggplot2 (Now available in the CRAN version); install. frame (x=c (100, 200, 300, 400), y=seq (0. # 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. Function that handles limits outside of the scale limits (out of bounds). Right now the axis is between 0. 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. The function scale_x_continuous () and scale_y_continuous () can be used for ggplot axis breaks. value, trans. scale_x_continuous() and scale_y_continuous() are the default scales for continuous x and y aesthetics. 1 Answer. How am I supposed to do this? r; ggplot2; axis; Share. 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. Lin. Source: R/scale-expansion. Customize a continuous axis. This function uses the following basic syntax: p + scale_y_continuous (breaks, n. markc1986 February 18, 2023, 12:16pm #6. We often put these types of data on the x-axis, while the y-axis is frequently used for counts. Thus, using percent() is not an option anymore. There are three variants that set the trans argument for commonly. scale_y_continuous(label = math_format()) just gives me 10^0, 10^5e-5, etc. I would like the numerical value yielded from seq(0,80,5) to appear in both lines, but with % written. super. 1, date and datetime scales have limited secondary axis capabilities. ggplot2 removes rows of data which are in specified x-axis range. ; Mappings Variables are mapped to visual attributes, called aesthetics. 4) Video & Further Resources. As of v3. ggplot(mpg, aes(x = hwy, y = displ)) + geom_point() + scale_y_continuous() ggplot2tor. There is a solution that don't require scales library. 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. Generate expansion vector for scales. Observe que desenhamos dois gráficos para comparação visual com a função grid. Scale transformation. Check the Help tab for. Improve this answer. *0. In ggplot2 you can specify formats in 2 ways. dup_axis is provide as a shorthand for creating a secondary axis that is a duplication of the primary axis. A short cut for this is to use the 'function' scale, and pass as extra arguments a forward and an inverse function. The super class to use for the constructed scale. However you can create a pseudolog scale using scales::pseudo_log_trans to get 0 included on the axis so all the bars go the same direciton. Thank you for your help. 14. scale_x_continuous and scale_y_continuous are the default scales for continuous x and y aesthetics. 3, 0. If you want to treat them as discrete, convert to a factor. We have changed the axis limits, and now we will proceed to our second step: change the breaks. e. R ggplot2 scale_y_continuous : Combining breaks & limits. 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. Note that the limits function gets the 'natural' data limits as argument, whereas the breaks function gets the expanded limits as argument. with the limits, breaks, and labels arguments), but sometimes you will need additional control over guide appearance. Value. The exponential constant e is positive, and y is just an exponent. I am just guessing without any data but maybe try. g. NOTE it's important to add 0 to the breaks to make it. 3. ) 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. With scales you can make use of trans_new to define a new transformation. 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. Hi there, I need some help. 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. 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. . g. x*800/50 does. In this example, scale_ specifies a scale function, fill is the aesthetic to adjust, and manual is the prepackaged scale to use. You might also consider using coord_cartesian () to control the axes -- the main difference is that it will keep all the input. If it is logical, the TRUE means the default of ggplot2 (foregoing statement), and FALSE means no expand for the plot. , date, continuous, discrete). should hide the outliers. A numeric value will create a continuous scale. 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. translate. Additionally, you can't use _scale_continuous for a factor. All formatters allow you to re-scale (multiplicatively), to round to specified accuracy, to add custom suffix and prefix. Setting xlim and ylim in coord_cartesian () To zoom in on a region of the plot, it’s generally best to use coord_cartesian (). ", decimal. p <- ggplot (mtcars, aes (cyl, mpg)) + geom_point () p <- p + scale_y_continuous (sec. A menudo, es posible que desee convertir el eje x o la escala del eje y de un gráfico ggplot2 en una escala logarítmica. If the larger value comes first, the scale will be reversed. #' continuous position data. The question asks how to plot a graph with a y axis in percentage using. 5 , 30. 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. library(tidyverse) df <- mpg %>% head() %>% mutate(hwy = hwy * 10000) ggplot(df, aes(cty, hwy)) + geom_point() + scale_y_continuous(label = scales::comma) + geom_text. p1 <- ggplot (mpg, aes (displ, hwy)) +. e^y cannot be negative. Setting the limits in each scale. Examples. 3)) pFrom the help for ?scale_y_continuous, the argument 'labels' can be a function:. the blank space among the. Each of these scale functions has many options including changing the limits, the breaks, etc. e. 05). However, when I adjust the font face using theme (), the tick labels do not become bold. The defaults are to expand the scale by 5% on each side for continuous variables. #' inputs before using it with a geom that requires discrete positions. count. First, this simple code should yield the following figure: ggplot (data = mpg, aes (x = displ, y = hwy)) + geom_point () + scale_x_continuous (sec. ehl November 3, 2022, 3:24pm #1. The ggh4x package has a few additional axes described further on. e. <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. ggplot2, rstudio. Use guides() or the guide argument to individual scales along with guide_*() functions. This behaviour depends on the oob (out-of-bounds) argument of scale_y_continuous(), which defaults to the scales::censor() function. If it is logical, the TRUE means the default of ggplot2 (foregoing statement), and FALSE means no expand for the plot. There are three ways to control the plot limits: Adjusting what data are plotted. Colour gradients are often used to show the height of a 2d surface. 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. p <-ggplot (mtcars, aes (cyl, mpg)) + geom_point # Create a simple secondary axis p + scale_y_continuous (sec. It also explains how to put a dollar sign on the y-axis labels with scales::dollar. Run the code above in your browser using DataCamp Workspace. Everything works fine except that I can't figure out how to round the numbers used in the data labels. 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. Also accepts rlang lambda function notation. . 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). scale_y_continuous() followed by scale_y_reverse(), the first scale is overridden. waiver() for the default labels computed by the transformation object. Break points not behaving with scale_y_continuous() 0. The functions scale_x_continuous() and scale_y_continuous() are used to customize continuous x and y axis, respectively. There are three variants that set the trans argument for commonly used transformations: scale_*_log10(), scale_*_sqrt() and scale_*_reverse(). When working with continuous data, the default is to map linearly from the data space onto the aesthetic space. Creator and author. 1, date and datetime scales have limited secondary axis capabilities. 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. New replies are no longer allowed. Is there a way to set scale_y_continuous () in such a way that I can have a different scale in different facets, while keeping: scales = free. 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. 15), expand=c (0,0)) Also consider adding theme_bw () for a cleaner look. In the following. So to make sure the pretty breaks line up with the limits based on the original. 5, 35, 35. p + scale_x_continuous(breaks = seq(70, 105, 5)) + scale_y_continuous(breaks = seq(70,105,5)) xlim()/ylim() are shorthands for the limit arguments in scale_*_continuous() they will specify the limits for your data, e. If you want to remove missing values from a discrete scale, specify na. 1)) # 1st dataset d2 = data. a grid::unit() object specifying the length of the short tick marks. The key to using any of the scale_ functions is to know what sort of data you’re working with (e. 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. g. The points in the two datasets will be in different colors in order to distinguish the two scales. Jul 30, 2020 at 21:12 | Show 1 more comment. 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. R ggplot2 scale_y_continuous : Combining breaks & limits. 9 Adding Labels to a Bar Graph. 0. This can be automated very easily using the tools R and ggplot provide. . This should be simple but I am getting some errors. 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. labels One of: NULL for no labels. 6 and I wnat to change it to be 0. Learn more about CollectivesUsing scale_x_continuous() and scale_y_continuous(), I define my own breaks, labels, and extent for each axis. . You can try: # To deactivate scientific notation on y-axis: p + scale_y_continuous(labels = function(x) format(x, scientific = FALSE)) # To activate scientific notation on y-axis: p + scale_y_continuous(labels = function(x) format(x, scientific = TRUE)) # To deactivate. 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. The default replaces out of bounds values with NA. 0. 9. # All these. The following R syntax therefore illustrates. 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. The most important is a new scale_cut argument that makes it possible to independently scales different parts of the range. g. 2. 4-1. That's what trans = ~. If it helps, I used the following data for p1:Description. The only way around this is to use a small variable for by in seq e. scale_y_continuous (breaks=seq (0),limits=c (0,6), breakslabels =. comma_format() and comma() format numbers with commas separating thousands. In the example below the transformation for the secondary axis. , scale_colour_gradient2 () ,. #Our transformation function scaleFUN <- function (x) sprintf ("%. : scale_y_continuous(trans = 'reverse', limits=c(0, 1500)) In your example you cannot see the adjustment, because your overwrite with your last scale_y_continuous paramater the limits defined before. 14. Source: R/scale-discrete-. from 100% on the left over 0% in the center to 100% on the right. Para isso, precisamos passar o valor NULL como o parâmetro breaks. The axes cover the whole range by default, whith a bit of space added at the edges. Here, you need to specify the trans argument to transform the values you're plotting back into the original values. The most common continuous position scales are the default scale_x_continuous() and scale_y_continuous(). Your Answer Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Improve this answer. If the X and Y axis represent continuous data, we can use scale_x_continuous() and scale_y_continuous() to modify the axis. Similarly, the scale_discrete function for discrete variables adds 0. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0. Every plot has two position scales, corresponding to the x and y aesthetics. For example, in the subtitle I have the total frequency of Question_3l. arrange. Great thank you, used - scale_y_continuous(trans='log10',breaks = scales::pretty_breaks(4)) – Grace. Learn how to use the scale_y_continuous function in ggplot2 to change the range of a continuous y axis. Data visualization in the tidyverse revolves around three concepts:. d1 = data. Be warned that this will remove data outside the limits and this can produce unintended results. 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. I used the following "scale_y_continuous (labels = scales::comma, accuracy=1. Often you may want to convert the x-axis or y-axis scale of a ggplot2 plot into a log scale. Please mark answers as accepted if they helped you to solve your problem. axis = sec_axis (~. scale_y_continuous (breaks = seq (-100, 100, 2), labels = abs (seq (-100, 100, 2))). An. The functions scale_x_continuous() and scale_y_continuous() are used to customize continuous x and y axis, respectively. a function that takes a vector x and returns a character vector of length (x) giving a label for each input value. To this end, you use the function trans_new() from the scales package. As you can see, I tried using scale_y_continuous with limits 0 and 15000 with a step of 500, but it sets the limits, and shows just the values between 0 and 500 in my graphs. 0. 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. R ggplot2 scale_y_continuous : Combining breaks & limits. 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. scale_y_continuous é usado para definir valores para a estética da escala do eixo y contínuo. Similarly, the scale_discrete function for discrete variables adds 0. 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. scale_x_continuous () and scale_y_continuous () are the default scales for continuous x and y aesthetics. 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. scales. If you specify 2 scales, e. Feb 21, 2020 at 14:54. I was able to remove the decimal. How to give Y axis limit and break as argumnet. (I know this is somewhat abstract; see the below code to get a better. Here is an example using the classic iris data set that comes with R.