scatter-plot

Using scatterplot3d in R, I'm trying to draw red lines from the observations to the regression plane: wh <- iris$Species != "setosa" x <- iris$Sepal.Width[wh] y <- iris$Sepal.Length[wh] z <- iris$Petal.Width[wh] df <- data.frame(x, y, z) LM <- lm(y ~ x + z, df) library(scatterplot3d) G <- scatterplot3d(x, z, y, highlight.3d = FALSE, type = "p") G$plane3d(LM, draw_polygon = TRUE, draw_lines = FALSE) To obtain the 3D equivalent of the following picture: In 2D, I could just use segments : pred <- predict(model) segments(x, y, x, pred, col = 2) But in 3D I got confused with the coordinates. Using

So I'm new to D3 and have little exp with JavaScript in general. So I have been following some tutorials am currently using source code that creates a basic scatter plot. Now my question is how do I use the transition() method to moves the circles around when I add more datasets? I want to be able to set up buttons and when a user presses them, it activates the transition() method with the corresponding dataset. The tutorial I read on transitions only showed a transition on a single rectangle and did it manually, without data, and not with multiple items //Width and height var w = 900; var h =

I am trying to plot a simple scatter plot for 3 groups, overlaying a segment indicating the mean for each group and labelling the groups. I have managed to get a scatter plot with error bars, but I would only like a segment indicating where the mean is. I also cannot seem to be getting the group labelling right. To get the summary statistics I am using the function "summarySE" from this page . Is there any simpler way to do this, and to get a segment instead of a point for the mean? I really appreciate your help! library(ggplot2) library(plyr) df <- data.frame(tt = rep(1:3, each = 40), val =

I'm using nvd3 and have a few charts where the legend is much to large. E.g. a scatter/bubble with 15 groups and the group names are long. The legend is so large that it leaves almost no room for the chart itself. Is there a way to remove the legend or toggle the legend or limit the height/width it is taking up? Any example would be great. Also, is there a way to have the bubble show a descriptive string? Right now when you stand on top of a bubble it highlights the x/y coordinates. I also want it to show the bubble name. For example, each of my bubbles represents a country (which has a name),

I am trying to create a simple 3D scatter plot but I want to also show a 2D projection of this data on the same figure. This would allow to show a correlation between two of those 3 variables that might be hard to see in a 3D plot. I remember seeing this somewhere before but was not able to find it again. Here is some toy example: x= np.random.random(100) y= np.random.random(100) z= sin(x**2+y**2) fig= figure() ax= fig.add_subplot(111, projection= '3d') ax.scatter(x,y,z) You can add 2D projections of your 3D scatter data by using the plot method and specifying zdir : import numpy as np import

I'm making some scatter plots and I want to set the size of the points in the legend to a fixed, equal value. Right now I have this: import matplotlib.pyplot as plt import numpy as np def rand_data(): return np.random.uniform(low=0., high=1., size=(100,)) # Generate data. x1, y1 = [rand_data() for i in range(2)] x2, y2 = [rand_data() for i in range(2)] plt.figure() plt.scatter(x1, y1, marker='o', label='first', s=20., c='b') plt.scatter(x2, y2, marker='o', label='second', s=35., c='r') # Plot legend. plt.legend(loc="lower left", markerscale=2., scatterpoints=1, fontsize=10) plt.show() which

In Python, with Matplotlib, how can a scatter plot with empty circles be plotted? The goal is to draw empty circles around some of the colored disks already plotted by scatter() , so as to highlight them, ideally without having to redraw the colored circles. I tried facecolors=None , to no avail. Gary Kerr From the documentation for scatter: Optional kwargs control the Collection properties; in particular: edgecolors: The string ‘none’ to plot faces with no outlines facecolors: The string ‘none’ to plot unfilled outlines Try the following: import matplotlib.pyplot as plt import numpy as np x =