I have successfully used a function to add degree symbols to the tick labels created by scale_x_continuous. scale_y_continuous (breaks = seq (-100, 100, 2), labels = abs (seq (-100, 100, 2))). . You still have to project your secondary data onto the proper range. – Jon Spring. ggplot(mpg, aes(x = hwy, y = displ)) + geom_point() + scale_y_continuous() ggplot2tor. The expansions vectors are used to add some space between the data and the axes. Therefore the result looks like a single line. markc1986 February 18, 2023, 12:16pm #6. 2. Here is the issue: I am using ggplot to to make a graph in which the x axis ranges from -90 to 90 degrees. e. If the X and Y axis represent continuous data, we can use scale_x_continuous() and scale_y_continuous() to modify the axis. scales. 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 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. 1. R ggplot2 scale_y_continuous : Combining breaks & limits. 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. This is useful if the underlying data is very small or very large. 0. For example in the plot below, we manipulate the x-axis by providing arguments to our scale. A convenient way to specify what guides should be drawn where is the guides. 1). upstartr (version 0. Viewed 913 times Part of R Language Collective 0 I'm currently using the following code to get rid of the space between the first tick mark and the y-axis, but I also want to reverse the direction of the y-axis. By default, any values outside the limits specified are replaced with NA. e. + 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for the percent: + scale_y_continuous(labels = scales::percent_format(accuracy = 1)) (the command labels = percent is obsolete since version 2. Follow edited Jul 1,. Since you are not using any transformation you might as well use pretty_breaks instead of trans_breaks. co/bD0g2c I also cannot. 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. scale_x_log10() and scale_x_log10() are shortcuts for the base-10 logarithmic transformation of an axis. Instead i get no y-axis or tick marks. Aug 27, 2021 at 20:19 @Jon Spring coord_cartesian works. library (ggplot2) library (lemon) ggplot (diamonds, aes (x=price, fill=cut)) + geom_histogram. After the following conversion: ch_time ['change_time']= ch_time ['date_trunc'] / np. scale_y_continuous(label = math_format()) just gives me 10^0, 10^5e-5, etc. axis= argument is for the second y scale. scale_y_continuous is used to set values for continuous y-axis scale aesthetics. There are three ways to control the plot limits: Adjusting what data are plotted. The axis will automatically scale to the data. g. Generate expansion vector for scales. 1 Numeric. 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. vector of multiplicative range expansion factors. ) and as a function labels = percent. There are three variants that set the trans argument for commonly used transformations: scale_*_log10 (), scale_*_sqrt () and scale_*_reverse () . 2. axis = sec_axis (~. There is a solution that don't require scales library. It's also possible to control axis breaks by specifying a step between ticks. For facet_wrap, the scales are used for each individual panel. g. 이 예에서는 scale_y_continuous 를 사용하여 Y 축 레이블을. Value. comes up with error: Error: Discrete value supplied to continuous scale. First, it is necessary to summarize the data. In the example below the transformation for the secondary axis. After running the original code with "expand=c(0, 0)", we. labels = c ("30 %", "40 %",. the blank space among the. 6) for discrete variables. 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 (-. 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. 2, transform the y values using yield/0. The following R syntax therefore illustrates. 使用的函数是 scale_y_continuous( ) ，它是ggplot2库中 “y-aesthetics “的一个默认比例。由于我们需要在Y轴的标签中加入百分比，所以使用了关键词 “labels “。 现在使用 scales: : percent 将Y轴的标签转换成百分比。这将把Y轴的数据从十进制扩展到百分比。I have 40 groups (defined by short_ID) and would like to produce 40 different plots that use different y-scale breaks for each short_ID. A função é parte do pacote ggplot2 e é usada principalmente com objetos ggplot para modificar diferentes parâmetros para gráficos a serem. Convenience function to return a scale_y_continuous function using percentage labels. demo_datetime for data / time axes. 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. This is precisely why R cannot calculate log (x) if x is negative. But you can also define custom transformation functions by supplying the trans argument to scale_y_continuous() (and similarly for scale_x_continuous()). How to give Y axis limit and break as argumnet. markc1986 February 18, 2023, 12:15pm #5. The ggh4x package has a few additional axes described further on. The basic steps involved are the same whichever graphics package you use: Transform the data into the Y scale that you want. 9%) or perhaps just to 51% (depends on what looks best). . In this R tutorial you’ll learn how to set the axis labels of a barchart in percentage points. 0+ you can specify separate expansion values for the upper and lower limit of the scales. scale_x_continuous() and scale_y_continuous() are the default scales for continuous x and y aesthetics. If you'd like to keep the upper extent of the scale "unchanged" from what ggplot would have calculated by default, AND eliminate the padding on the lower bound so the plot area starts at exactly 0, as of ggplot2 v3. Tidy Data Data is stored is a data frame with cases as rows and variables as columns. e. residuals. #> Warning: Removed 25 rows containing. 5)) + scale_y_continuous(breaks = seq(-17. #' continuous position data. This is a convenience function for generating scale expansion vectors for the expand argument of scale_ (x|y)_continuous and scale_ (x|y)_discrete. scale_y_continuous. Every plot has two position scales, corresponding to the x and y aesthetics. Unlike most {ggplot2} functions, scales are not additive. See the arguments, examples and built-in transformations for each variant. Use guides() or the guide argument to individual scales along with guide_*() functions. The diagram is then transformed on the y-axis by calling this function coord_trans (y=log_reverse). frame (x=c (100, 200, 300, 400), y=seq (0. I would like to plot ONLY y-axis1 DATA (left axis, Var1, dotted line) as a log10 scale. What am I doing wrong here? r; ggplot2; Share. text. Setting range and breaks on scale on ggplot2. coord_cartesian を用いて ggplot2 の両軸を制限する. ", decimal. This will extend only the right end of your Y-axis by 10% (. 3. Based on these functions trans_new is defined. 3. 2f", x) #Plot library (ggplot2) p <- ggplot (mpg, aes (displ, cty)) + geom_point () p <- p. 01. coord_cartesian () just zooms that region of values. Hi, Im tring to create ggplot graph with secondary axis. 6, 0. See help (cut_width). 2 Scale transformation. scale_x/y_continuous breaks by n in R ggplot2? 1. 5, 1, 1. 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. How to Include Reproducible R Script Examples in Datanovia Comments. See Also. scale_y_sqrt (**kwargs) Continuous y position sqrt transformed scale. See the addition of geom_point (aes (text =. 90. p1 <- p1 + scale_y_continuous(limits =c(lower. 4. Set up data: set. sec_axis is used to create the specifications for a secondary axis. 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. base + scale_y_continuous (breaks = NULL) base + scale_y_continuous (labels = NULL) 10. Be warned that this will remove data outside the limits and this can produce unintended results. 5. Compare. 500000 to 500K. It only works with facets where scales are free. Eg. The axes cover the whole range by default, whith a bit of space added at the edges. 1 Continuous Axis. This means that it is impossible to plot a percentage (scale_y_continuous(labels=scales::percent_format())) and a scientific number (scale_y_continuous(labels=scales::scientific_format())) on the same axis but different. It's because you are setting a discrete x scale but your x values are numeric. breaks: determines the axis breaks of the x or y-axis. This can be done in a number of ways, as described on this page. – Jon Spring. The suffix is applied to absolute value before style_positive and style_negative are processed so that prefix = "$" will yield (e. You can use one of the following two methods to do so using only ggplot2: 1. In the following. You can combine coord_cartesian () and scale_y_continuous () in one plot, just remove limits=c (-1,1) from scale function. # All these. 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. Control of the x and y axes for continuous variables is done with the functions scale_x_continuous and scale_y_continuous. Position scales for discrete data. You can set the limits precisely by setting expand = FALSE p + coord_cartesian(xlim = c (325. See examples of different values for the argument trans, such as log2, log10, sqrt, and reverse. g. 2, 10, 32, 100), limits=c (0,100)), I get this: ibb. Details. You will need to transform it - here I am telling it to divide the value by 10,000. 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. I can't figure out the correct combination of scale_y_continuous() and math_format() (at least I think those are what I need). A function used to scale the input values to the range [0, 1]. This function will later be passed to the breaks = argument in scale_y_continuous() to draw new limits. 0+ you can specify separate expansion values for the upper and lower limit of the scales. get_breaks. Part of R Language Collective. The functions scale_x_continuous() and scale_y_continuous() are used to customize continuous x and y axis, respectively. a grid::unit() object specifying the length of the short tick marks. If you need to include the whiskers as well, consider using boxplot. However, scale_y_continuous() expects a function as input for its labels parameter not the actual labels itself. The points in the two datasets will be in different colors in order to distinguish the two scales. Based on the first example, you should be able to understand how changes to font face. 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. Depending on the class at hand, axis ticks and labels can be controlled by using scale_*_date, scale_*_datetime or scale_*_time, respectively. 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. You can manually adjust the yscale with. library (ggplot2) ggplot () + geom_col ( data = f400weight, aes (factor (month), avg_weight, fill = factor (fruit_origin. g. I have found that if I pass arguments to the labels option in scale_y_continuous() function in ggplot directly it works fine, but if I pass them via do. I solved my own problem. 6 units on each side for discrete variables. I made an example of using two axes with the data you provided but I do not like the way it looks. 6 units on each side for discrete variables. 5. The axes cover the whole range by default, whith a bit of space added at the edges. y. <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. The defaults are c (0. Search all packages and functions. 이 함수는 ggplot2 패키지의 일부이며 대부분 ggplot 객체와 함께 사용되어 그릴 그래프에 대해 다른 매개 변수를 수정합니다. 例2：在ggplot2绘图中指定Y轴刻度线. scale_y_continuous (limits=c (-5, 1)) # or whatever values you want to use. 1. Value. As of v3. 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. 5. I am making a chart with ggplot and can control the y axis minor grid lines. Reversing the date order is currently yet not supported in ggplot2, as stated in this GitHub issue. 6 units on each side for discrete variables. The most common scales are for discrete and continuous data: scale_x_continuous (): for continuous x-axis values. For the Viridis scale, the first two colors are dark (or anything under . . ggplot2 removes rows of data which are in specified x-axis range. A menudo, es posible que desee convertir el eje x o la escala del eje y de un gráfico ggplot2 en una escala logarítmica. . My goal is to round to either 1 decimal (51. translate = FALSE. 1,1), expand = c (0,0)) and I get this as the result. 2k 6 6 gold badges 54 54 silver badges 94 94 bronze badges. I was able to remove the decimal. g. Please mark answers as accepted if they helped you to solve your problem. For example, if by = 5, a tick mark is shown on every 5. 3)) pFrom the help for ?scale_y_continuous, the argument 'labels' can be a function:. This article tells us that “it’s OK not to start your y-axis at zero”, but then states that “column and bar charts should always have zeroed axes”. However, as seen on the image below, y axis don't match. 25, 4. Any advise? python; bar-chart; visualization; data-science; plotnine; Share. count. 1))) does the job. The guides (the axes and legends) help readers interpret your plots. Each aesthetic property of the graph (y-axis, x-axis, color, etc. p <- ggplot (mtcars, aes (cyl, mpg)) + geom_point () p <- p + scale_y_continuous (sec. One useful feature of these functions is to allow for each facet to have a differently scaled y or x axis. 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. demo_discrete () for discrete axes. 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 companyThe first argument (name=) of scale_y_continuous is for the first y scale, where as the sec. These functions share common API deisgn, with the first argument specifying the limits of the. Share. 이 함수는ggplot2 패키지의 일부이며 대부분ggplot 객체와 함께 사용되어 그릴 그래프에 대해 다른 매개 변수를 수정합니다. + 10)) # Inherit the name from the primary. # discrete value continuous scale r solution > a = data. 1) First we make a sequence between 0 and the maximum value of the x-axis, plus some extra padding ((x+1)*1. Force size aesthetic to scale to given breaks. An. excluding any data points outside that range), whereas coord_cartesian changes the plotting range after any calculations. 05, 0)", instead of "c(0, 0)". library (ggplot2) p <- ggplot ( mtcars. An other possibility is the function scale_x_log10() and scale_y_log10(), which transform, respectively, the x and y axis. 1. 4-1. Learn more about CollectivesUsing scale_x_continuous() and scale_y_continuous(), I define my own breaks, labels, and extent for each axis. 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), 눈금(breaks), 레이블 표기(label), 표시구간(limit) 등을 설정 할 수 있도록 해 줍니다. scale_y_continuous() and scale_y_discrete() are the equivalent functions for the y-axis. If you want to control the range of the x data, and the number of breaks, put both inside scale_x_continuous. It's also possible to control axis breaks by specifying a step between ticks. Length)) + geom_histogram() + scale_y_continuous(expand = c(0. scale_y_continuous(name="Fluorescent intensity/arbitrary units", labels = comma) to your ggplot statement. With the line plot I use the scale_y_continuous argument. 12, 3. ggplot2, rstudio. For example, if by = 5, a tick mark is shown on every 5. This will automatically add line breaks after X characters in labels with lots of text—you just have to tell it how many characters to use. g. 15,. g. #' example is using `scale_x_binned ()` with. I hope this helps understanding why this plot is giving you trouble. I think that neither of your suggestions (scale_y_continuous or coord_cartesian) are applicable facet-by-facet. this is helpful, however, the scale from the scale_y_continuous function is applied across all boxplots. e. Your bars starts at 0 point and therefore are removed because minimal y value is set higher. When working with continuous data, the default is to map linearly from the data space onto the aesthetic space. What About Dash? Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library. 1 unit_format {scales} has been retired; label_number {scales} is the replacement 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. 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='. 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. This function uses the following basic syntax: p + scale_y_continuous (breaks, n. 006) round to 0. R. First, this simple code should yield the following figure: ggplot (data = mpg, aes (x = displ, y = hwy)) + geom_point () + scale_x_continuous (sec. We can also transform either of the axes to a log scale by using the following arguments: scale_x_continuous(trans=’log10′) scale_y_continuous(trans=’log10′) For example, the following code shows how to transform the y-axis to a log scale:Raw Blame. The second call overrides the first. 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. 1 Answer. Also accepts rlang lambda function notation. Here is an approach using dig. I have tried several things, but does not work ( I believe I am using them in the wrong order/place) such as:1. Note: My actual data. 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. prefix. With scales you can make use of trans_new to define a new transformation. Learn how to use the scale_y_continuous function in ggplot2 to change the range of a continuous y axis. frame like this, but I find it hard to specify the breaks in scale_y_discrete inside the dplyr pipeline. 5-1. . You will also need to specify that this should be applied to the limits= argument. 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. scale_y_log10() log transforms the axis, which I don't want. scale_y_continuous 는 연속적인 y 축 스케일 미학을위한 값을 설정하는 데 사용됩니다. 0. R R Plot. # scale_y_continuous (labels = label_number (suffix = " K", scale = 1e-6)) # thousands. 1) Third, pretty() turns this sequence into a sequence of "pretty" values (meaning 1, 2, or 5 times a power. specifying number of breaks with scales in ggplot2 without a transform? 9. Sam. Fortunately, the scales package offers a function called percent_format() that returns the percent() function with changed defaults. This censors (replaces with NA) any values that are outside the axis limits, which includes the 0 which should be the ymin column. Using scale_y_continuous & scale_y_reverse concurrently. library (ggplot2) library (scales) nminor <- 7 nmajor <- 5 ggplot (iris, aes (x = Species, y = Sepal. d1 = data. scale_y_continuous(labels = label_number(suffix = " M", scale = 1e-6)) # millions. The function scale_x_continuous () and scale_y_continuous () can be used for ggplot axis breaks. Use it when the ranges of your variables vary greatly and need to be freed. Depending on whether one wants to modify the x or the y axis scale_x_* or scale_y_*. I have used the exact same code in other plots without having to use “round. As Axeman noted, specifying limits in scale_y_continuous () would limit the y-axis. Thus, using percent() is not an option anymore. 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. scale_y_continuous(limits = c(0, NA. Here, you need to specify the trans argument to transform the values you're plotting back into the original values. A standard example are logarithmic coordinates, which can be achieved in ggplot by using scale_y_log10(). Only a logarithmic function has the property that f(10^-5) - f(10^-4) == f(10^-4) - f(10^-3). p = ggplot (mydataf, aes (x = foo)) + geom_bar (aes (y = (. 0. Suppose we have the following data frame in R that shows the percentage of items that were returned at four different stores:Position guides are ticks, labels and lines drawn at the x- and y-axes. 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. right after your limits =. 5. ggplot(iris,aes(Sepal. I tried using scale_y_continuous but it erased the entire y-labels. 5, 34, 34. breaks and 2. Manual labels eg. 1 Answer. The function scale_y_continuous allows for functions to be used for the labels argument. 7 Transformations. I also show that you can include HTML in the tooltip text, so I've made the. 4. 9 Adding Labels to a Bar Graph. Another option is to format your axis tick labels with commas is by using the package scales, and add. I'll be using shiny to help explore the results of modeling efforts using different training parameters. I'm using the geom_smooth function for the regression line, but I need 2 regression lines (one for each species). 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. 3, scale_y_continuous (expand = expansion (mult = c (0, . 使用 scale_y_continuous 将 Y 轴标签打印为 R 中的百分比. mid. 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. call it throws an error, even though (I think) these are equivalent. The ylim() function is equivalent to using the limits argument in scale_y_continuous(). 2, 0. 9. 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. I plot my data. New to Plotly? Plotly is a free and open-source graphing library for R. v of ggplot2 (Now available in the CRAN version); install. I'm creating a facetted plot to view predicted vs. by default multipled by 0. + scale_y_continuous(labels = scales::percent) However I have not been able to find how to do this in Plotnine. p + scale_y_continuous (breaks = c (4, 4. df <- data. Want to show a calendar, days on the left # and candle lines showing the. The numbers are already in % but without such symbols. ie, since the y-axis is transformed using ~. R ggplot2 scale_y_continuous : Combining breaks & limits. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0. The scales scale_colour_binned() and scale_fill_binned() are equivalent scale functions that assign discrete color bins to the continuous values. 5 , 30. Improve this answer. Powered by. This is useful for scales which span. 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. #Our transformation function scaleFUN <- function (x) sprintf ("%. If you want to plot the percentages than you have to tell ggplot to do so using e. 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. 5% and because I want to show them side by side to show a bigger difference I would like to have the same 13% scale on both, but how can I change that for scale_y_continuous(labels = scales::percent)? 6. 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. Goal: change labels on my y axis on a bar plot from e. Guides are mostly controlled via the scale (e. Setting xlim and ylim in coord_cartesian () To zoom in on a region of the plot, it’s generally best to use coord_cartesian (). This answer is out of date for ggplot2 version 0. percent_format() and percent() multiply values by one hundred and display percent sign. count. 1. Use coord_cartesian instead of scale_y_continuous:. Pick better value with `binwidth`. Often you may want to convert the x-axis or y-axis scale of a ggplot2 plot into a log scale. In the simplest case they map linearly from the data. 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. A volcano plot depicts: ; Along its x-axis: log_fc i. The scales package, a ggplot2 dependency 4, makes it incredibly easy to reformat x and y axis labels (among other things). 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. Instead, sometimes you would like to have the y-axis with dollars. A reverse datetime scale could be created by manually defining a trans function from this answer. axis which allows you to plot a second axis on the right-hand side of the plot. The key to using any of the scale_ functions is to know what sort of data you’re working with (e. ; Layers Plots are build layer by layer. I'm able to add thousands separators in "y" axis but I can't do it in the content area: This is the code that I use for "y" axis: scale_y_continuous(labels=function(x) format(x, big.