Asymmetric Error Bars Log Scale
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Graphpad.com FAQs Find ANY word Find ALL words Find EXACT phrase Plotting the geometric mean with geometric SD error bars FAQ# 1910 Last Modified 26-September-2014 The figure below shows a plot of data sampled from a lognormal distribution. Notice that the
Asymmetric Error Bars Matlab
distribution is not symmetrical. The graph on the left plots the individual data points and asymmetric error bars matplotlib superimposes a horizontal line at the arithmetic mean, and error bars showing plus and minus one SD. This is a simple choice asymmetric error bars sigmaplot in Prism's Format Graph dialog. Showing the mean with SD error bars really does not do a great job of showing the variation in the data. If you only saw the mean and error bars (which many
Gnuplot Asymmetric Error Bars
scientists like to plot) without the raw data, you would be mislead. If the data were more skewed, the SD might be large enough that the downward pointing error bar might go below the axis to a negative Y value. The graph in the middle plots the geometric mean along with the 95% confidence interval of that geometric mean. These error bars give you a good sense of how precisely you know the
Python Asymmetric Error Bars
populationgeometric mean, but don't show the amount of scatter. The graph on the right uses a logarithmic axis. This is created in Prism by a setting in the upper right of the Format Axis dialog. The error bars show the arithmetic mean and the error bars show plus or minus one SD. The error bars are symmetrical in terms of the values they represent, but on a log scale the lower error bar is much longer. This still doesn't do a great job of showing variation. If the downward error bar would go to a negative value, Prism (starting with 6.05 and 6.0f) doesn't even show it at all (because negative values cannot be shown on logarithmic axes). What about plotting the geometric mean with the geometric SD? Prism doesn't do this automatically, but you can make it do so with a bit of work. To create the graphs below, I transformed all the values to their logarithms (base 10) using Prism's transform analysis. The Y axis of graph on the left shows the logarithms (the data that are actually plotted). The graph on the right plots antilogarithms instead, along with log spaced minor intervals. These settings are on the Format Axis dialog. The data are still logarithms. We just told Prism to label the Y axis with antilogarit
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Logarithmic Error Bars
Home Post A New Message Advanced Search Help Trial software errorbar on semilog plot Subject: errorbar on semilog plot From: Elnaz logarithmic error propagation Elnaz (view profile) 110 posts Date: 24 Sep, 2012 22:51:09 Message: 1 of 18 Reply to this message Add author to My Watch List View original format Flag as spam Dear all, Does anyone know https://www.graphpad.com/support/faq/plotting-the-geometric-mean-with-geometric-sd-error-bars/ how to plot "errorbar" function on a semilogy axis? If I use errorbar and then make the y axis logarithmic it will mess up the error bars. Any suggestions? Thanks, Elnaz Subject: errorbar on semilog plot From: dpb dpb (view profile) 5069 posts Date: 25 Sep, 2012 00:59:57 Message: 2 of 18 Reply to this message Add author to My Watch List View original format Flag as spam On 9/24/2012 https://www.mathworks.com/matlabcentral/newsreader/view_thread/323329 5:51 PM, Elnaz wrote: > Dear all, > > Does anyone know how to plot "errorbar" function on a semilogy axis? If > I use errorbar and then make the y axis logarithmic it will mess up the > error bars. Any suggestions? In what way does it "mess up" the error bars? They'll simply change to reflect the values. If you mean you want symmetric errors on log scale then compute and pass the lower/upper limits when call errorbar() instead of using a single error value doc errorbar -- Subject: errorbar on semilog plot From: Elnaz Elnaz (view profile) 110 posts Date: 25 Sep, 2012 03:14:10 Message: 3 of 18 Reply to this message Add author to My Watch List View original format Flag as spam dpb
Error bars on log-transformed plots Tweet Welcome to Talk Stats! Join the discussion today by registering your FREE account. Membership benefits: • Get your questions answered by http://www.talkstats.com/showthread.php/4304-Error-bars-on-log-transformed-plots community gurus and expert researchers. • Exchange your learning and research experience among peers and get advice and insight. Join Today! + Reply to Thread Results 1 to 7 of 7 https://plot.ly/matlab/error-bars/ Thread: Error bars on log-transformed plots Thread Tools Show Printable Version Email this Page… Subscribe to this Thread… Display Linear Mode Switch to Hybrid Mode Switch to Threaded Mode 04-18-200802:07 PM error bars #1 gstuart View Profile View Forum Posts Give Away Points Posts 4 Thanks 0 Thanked 0 Times in 0 Posts Error bars on log-transformed plots Hello - I am a genetics researcher. I have a series of data points with errors (standard errors), that I wish to plot as a graph plot: GENE, AVG FOLD CHANGE, SE Gene1, 2193.10, 1200.74 Gene2, 96.28, 9.08 asymmetric error bars Gene3, 39.02, 22.51 Gene4, 5.88, 0.82 Gene5, -0.68, 0.33 Gene6, 1.14, 0.02 Gene7, -1.46, 0.16 Gene8, -1.56, 0.50 Gene9, -1.58, 0.10 Gene10, -1.88, 0.45 Gene11, -2.04, 0.45 Gene12, -6828.82, 975.41 Positive values are up-regulated genes; negative values are down-regulated genes (re: gene expression levels). I wish to plot this as a column plot on a log scale (y-axis) with negative values below the zero baseline, positive values above, and with the errors indicated. Something like: 1000 100 10 * 1 * 0------------------- -1 * -10 * -100 -1000 but with bars instead of the asterisks - you get the idea. I can do this easily enough using MS Excel, by taking the log of the absolute value, multiplying the result by +1 or -1 (to restore the original "directionality" - i.e. up- or down-regulated). A couple of questions: (Q1) Is it "better" to use log (base 10) or ln (natural) log transformations? (Q2) How would I present the error bars - would I log (or ln) -transform the standard errors, for example, and plot these [or the absolute values of these, since the log of number
Editor. Build charts in a breeze with our online editor. Real-time Support. Get instant chat support from our awesome engineering team. plotly Pricing PLOTCON NYC API Sign In SIGN UP + NEW PROJECT UPGRADE REQUEST DEMO Feed Pricing Make a Chart API Sign In SIGN UP + NEW PROJECT UPGRADE REQUEST DEMO Show Sidebar Hide Sidebar Help API Libraries MATLAB Error Bars Fork on Github Navigation Back to MATLAB Error Bars in MATLAB How to add error bars to a line, scatter, or bar chart. Seven examples of symmetric, asymmetric, horizontal, and colored error bars. matplotlib Python plotly.js Pandas node.js MATLAB Symmetric Error Bars % Learn about API authentication here: https://plot.ly/matlab/getting-started % Find your api_key here: https://plot.ly/settings/api x = 0:pi/10:pi; y = sin(x); e = std(y)*ones(size(x)); fig = figure errorbar(x,y,e) %--PLOTLY--% % Strip MATLAB style by default! response = fig2plotly(fig, 'filename', 'matlab-symmetric-error-bars'); plotly_url = response.url; Basic Symmetric Error Bars % Learn about API authentication here: https://plot.ly/matlab/getting-started % Find your api_key here: https://plot.ly/settings/api data = {... struct(... 'x', [0, 1, 2], ... 'y', [6, 10, 2], ... 'error_y', struct(... 'type', 'data', ... 'array', [1, 2, 3], ... 'visible', true), ... 'type', 'scatter')... }; response = plotly(data, struct('filename', 'basic-error-bar', 'fileopt', 'overwrite')); plot_url = response.url Bar Chart with Error Bars % Learn about API authentication here: https://plot.ly/matlab/getting-started % Find your api_key here: https://plot.ly/settings/api trace1 = struct(... 'x', { {'Trial 1', 'Trial 2', 'Trial 3'} }, ... 'y', [3, 6, 4], ... 'name', 'Control', ... 'error_y', struct(... 'type', 'data', ... 'array', [1, 0.5, 1.5], ... 'visible', true), ... 'type', 'bar'); trace2 = struct(... 'x', { {'Trial 1', 'Trial 2', 'Trial 3'} }, ... 'y', [4, 7, 3], ... 'name', 'Experimental', ... 'error_y', struct(... 'type', 'data', ... 'array', [0.5, 1, 2], ... 'visible', true), ... 'type', 'bar'); data = {trace1, trace2}; layout = struct('barmode