TGraphBentErrors is similar to TGraphAsymmErrors but it hasĤ extra parameters to shift (bent) the error bars. The drawing options are the same as those for TGraphErrors When the errors are not symmetric use TGraphAsymmErrors. TGraphErrors uses 4 parameters: X, Y (as in TGraph), X-errors, and Y-errors (the size of the errors in the x and y direction). Graphs with error barsĪ TGraphErrors is a TGraph with error bars. Use the graph Fit() methods (for example TGraph::Fit()), for fitting graphs.įor more information on the Fit() method, → see Fitting histograms.See also “ How to set ranges on axis” Fitting graphs Several drawing options are available.Įxample auto gr = new TGraph () for ( int i = 0 i AddPoint ( i * 0.1, 10 * sin ( i * 0.1 + 0.2 )) gr -> Draw () int n = 20 double x, y for ( int i = 0 i AddPoint ( i * 0.1, 10 * sin ( i * 0.1 + 0.2 )) Drawing a graph The coordinates can be arrays of doubles or floats. The most common way being the creation from C++ arrays.Īrrays of coordinates are defined and then the graph is created with TGraph, and its derived classes, offers a wide variety of constructors.Ī TGraph can be created from an ASCII file, from a TF1, from a histogram etc … This section explains how to work with a TGraph an its TGraph2DErrors: A TGraph2D with error bars. TGraph2D: A graph made of three arrays X, Y and Z with the same number of points each. TMultiGraph: A collection of TGraph (or derived) objects. TGraphPolar: A TGraphErrors represented in polar coordinates. TGraphMultiErrors: A TGraph with asymmetric error bars and multiple y error dimensions. TGraphBentErrors: A TGraph with bent, asymmetric error bars. TGraphAsymmErrors: A graph with asymmetric error bars. TGraphErrors: A graph with symmetric error bars. ( TGraph2D) arrays X, Yand Z holding the x, y and zĪ graph or chart is a set of categorical variables, this is un-binned data unlikeĪ histogram which holds continuous data, where the bins represent ranges of data It might be useful to treat these values as equal categories when making a graph.A graph is an object made of two ( TGraph) or three In this data set, the dose is a numeric variable with values 0.5, 1.0, and 2.0. When the variable on the x-axis is numeric, it is sometimes useful to treat it as continuous, and sometimes useful to treat it as categorical. In the line graph, the reason that the legend title, “Sex of payer”, must be specified three times is so that there is only one legend. Theme_bw () + theme ( legend.position = c (. Scale_linetype_discrete ( name = "Sex of payer" ) + xlab ( "Time of day" ) + ylab ( "Total bill" ) + # Set axis labels Scale_shape_manual ( name = "Sex of payer", values = c ( 22, 21 )) + # Use points with a fill color L = 30 ) + # Use darker colors (lightness=30) Scale_colour_hue ( name = "Sex of payer", # Set legend title Geom_point ( size = 3, fill = "white" ) + # Use larger points, fill with whiteĮxpand_limits ( y = 0 ) + # Set y range to include 0 Ggplot ( data = dat1, aes ( x = time, y = total_bill, group = sex, shape = sex, colour = sex )) + geom_line ( aes ( linetype = sex ), size = 1 ) + # Set linetype by sex Ggtitle ( "Average bill for 2 people" ) + # Set title Xlab ( "Time of day" ) + ylab ( "Total bill" ) + # Set axis labels Scale_fill_hue ( name = "Sex of payer" ) + # Set legend title Ggplot ( data = dat1, aes ( x = time, y = total_bill, fill = sex )) + geom_bar ( colour = "black", stat = "identity", position = position_dodge (), size =. Here is some sample data (derived from the tips dataset in the reshape2 package): In ggplot2, the default is to use stat_bin, so that the bar height represents the count of cases. This is done with stat_identity, which leaves the y values unchanged. The value of a column in the data set.This is done with stat_bin, which calculates the number of cases in each group (if x is discrete, then each x value is a group if x is continuous, then all the data is automatically in one group, unless you specifiy grouping with group=xx). The count of cases for each group – typically, each x value represents one group.With bar graphs, there are two different things that the heights of bars commonly represent: If your data needs to be restructured, see this page for more information. To make graphs with ggplot2, the data must be in a data frame, and in “long” (as opposed to wide) format. You want to do make basic bar or line graphs.
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