Presenting results in graphical form; for example, histogram, scatterplot, or boxplot.
4
votes
0answers
80 views
How to design good plots for multiple time series?
I have huge (about 100 000) set of time series. I need to show between 5 to 10 time series, chosen semi-randomly on one chart. Chart estate is very limited - plot for each time series is only 100px x ...
4
votes
0answers
216 views
Calculating and comparing histograms of complex numbers
If I have a 1D sequence of complex numbers with real and imaginary parts, how can I compute the histogram of this sequence? Do I separately compute the histogram of both the real and imaginary parts?
...
3
votes
0answers
46 views
Visualizing results from multiple latent class models
I am using latent class analysis to cluster a sample of observations based on a set of binary variables. I am using R and the package poLCA. In LCA, you must specify the number of clusters you want to ...
3
votes
0answers
86 views
Exploratory data analysis
I have two data sets: one has a continuous response variable whereas the other discrete. I will use a linear model for the continuous data and a logit and probit model for the discrete data. What I ...
3
votes
0answers
33 views
Interpreting “elliptic” shape in visualization of high-dimensional dataset, e.g. COIL-20?
There exist an image dataset referred to as COIL-20. There are several paper that describes different dimensionality reduction methods and apply them to produce a 2d plot of this dataset. These ...
3
votes
0answers
76 views
Visual depiction of experimental treatments in (Poisson) ANCOVA?
Goal: I want to visually depict the difference between experimental treatments while controlling for a continuous covariate in Poisson regression.
In my experiment, I am seeking to explain the number ...
3
votes
0answers
88 views
How to draw a Hasse diagram of a large number of pairwise comparisons?
I have 100 pairwise comparisons where my results show that 33% of the pairwise comparison tests are non-significant.
How can I draw draw a Hasse diagram to represent this?
Are there any tips to ...
3
votes
0answers
46 views
Analyzing categorical data where the last category is unbounded
This is a bit of a long-winded data vis question.
We're gathering data from a water quality test measuring fecal contamination. The test measures fluorescence in 11 discrete chambers. The water is ...
3
votes
0answers
69 views
R: looking for “time” clusters in a data set
I am new to R and seeking some advice. I have a set (~20M) of data describing on which step a process did fail or succeeded:
...
3
votes
0answers
246 views
What are some useful data visualisation or data mining techniques to investigate horse racing forms?
I have a dataset of 13k horse races from four different tracks with an average of 11 runners per race. In all, there are 26k unique runners in the data. For each race, I know who came first, second, ...
2
votes
0answers
66 views
Diagnostic plot for assessing homogeneity of variance-covariance matrices
Is there a handy plot for comparing the variance-covariance matrices of two (or perhaps more) groups? An alternative to looking at lots of marginal plots, especially in the multivariate Normal case?
2
votes
0answers
74 views
Correlation heatmaps with batch effects
I am interested in plotting correlation heat maps for a multivariate dataset collected in two batches. Some of the variables show a clear batch effect others do not show any batch effect. Is there ...
2
votes
0answers
75 views
What is the best way to show visually the connection between prediction value and independent features?
After applying a machine learning algorithm on some data, I have a table with one column being the prediction value (can be either binary or continuous). The other columns are the independent features ...
2
votes
0answers
600 views
Interpreting decision trees outputs in R?
I have created 2 decision trees, I just want to assure if I am making correct interpretation about it. Here is my first tree:
Note: Right click on image and select view image to view it clearly!
...
2
votes
0answers
153 views
What are the red lines in quantile regression plot (quantreg package)?
Using plot.rq in the quantreg package in R, we can plot the coefficient estimate distribution, and get something like this:
...
2
votes
0answers
93 views
How do I interpret this McNemar's agreement plot generated by SAS?
I'm running a simple McNemar's test for agreement on the McNemar's example from Wikipedia. The test uses the following data:
for patients of Hodgkin's disease. Running this SAS code:
...
2
votes
0answers
130 views
Clusters produced by R intersect
I am new here - and relatively new to statistics, data mining and R. I am trying to understand why my data is not clustering correctly - or if I am reading it wrong. Shortly about the project:
My ...
2
votes
0answers
104 views
Compare conservation rates of a variable in two-factor experiment
This is probably a very simple question for anyone using R, but I am fairly new to it (and stats in general) and I can't figure this simple computation out.
I have 3 varieties of plants (A, B, C) ...
2
votes
0answers
50 views
Visualization of an ensemble of sequences
What are the standard techniques of plotting a statistical ensemble of sequences?
I know the chaos game representation:
H. Joel Jeffrey (1992), Chaos game visualization of sequences. Computers ...
2
votes
0answers
196 views
Presenting marginal effects of logit with fixed effects
I have a traditional logit model with a dichotomous dependent variable and several independent variables. One of the IVs is categorical and in my R code, I treat it as a factor.
In the past, I've ...
2
votes
0answers
176 views
Cluster similarity percentages with inverted Y-axis in R
I'd like to ask a question here that I've also asked on Biostar (stackexchange) and someone there forwarded me to this website. I was wondering how I could perform a Bray Curtis similarity clustering ...
1
vote
0answers
23 views
Visualization and navigation through a Pareto front
I've recently extended my genetic algorithm in such a way that it constructs a Pareto front, instead of weighing the different quality dimensions.
The quality dimensions are not related to 'spacial' ...
1
vote
0answers
25 views
R module for creating plots of prototypical individuals from fitted models?
In order to help interpret fitted models — especially those with interaction terms and non-linear components — I've found it useful to plot predicted values of a dependent variables for what we might ...
1
vote
0answers
32 views
Graph data from an Excel Pivot in a Tree Representation
I've been looking for a while to see if there's any add-on or software which allows data from an excel pivot to be graphed dynamically in a visual tree representation. I know of the likes of graphviz ...
1
vote
0answers
70 views
Plotting confidence bands around fitted values from a binomial GLMM
I have some parameter estimates and confidence intervals estimated from a set of model-averaged binomial GLMMs: two main effects and their interaction. I would like to plot [population level] fitted ...
1
vote
0answers
75 views
How to make results using Hellinger distance comparable with Euclidean distance outputs?
I have a two kinds of data for the same geographic region. One is presence-absence data of species (for amphibians, reptiles and birds) and the other has several environmental variables for the same ...
1
vote
0answers
47 views
Plotting a histogram estimate together with an analytical solution of the mean and covariance parameters
How do I plot a histogram estimate of this marginal distribution p(x1):
...
1
vote
0answers
55 views
What sort of data would be visualized with these colormaps?
I have a good feel for the types of data that go with most colormaps. But I don't know what kind of data one would want to use the following types of colormaps:
Flag:
Prism:
Source: ...
1
vote
0answers
31 views
References regarding rules for multidimensional histograms
Can someone give me references on the theory of histograms applied to multivariate data? Are there any rules like the one dimensional Freedman-Diaconis available for the high dimensional case? What ...
1
vote
0answers
126 views
Exploring and visualizing survey data collected on small sample
I'm doing some analysis on survey data. Unfortunately the survey isn't as well set out as a data specialist would like and as a result I'm trying to find some innovative ways to examine and visualize ...
1
vote
0answers
88 views
Find most likely fit for subgroup size and average density from product and supergroup size
I need to find the most likely sets of group subset percent and frequency for a given result having the super group size. Let me illustrate with an example.
Assume I have the following:
...
1
vote
0answers
137 views
How to display a large number of model results from groups of data?
Suppose I have $n$ data sets where each variable has the same variable types, but possibly a different number of data points. For instance, age, sex, and height, for $n$ different counties. After ...
1
vote
0answers
82 views
Appropriate use of difference adjusted CIs in error bars for mixed ANOVA's time * group interaction
I have performed a mixed design ANOVA with time (pre-post) and group (treatment vs control) as variables. I'm wondering if it's sensible to use between subjects difference adjusted CIs (from Baguley, ...
1
vote
0answers
81 views
Bayesian plots: construction and interpretation
I've heard a couple of definitions of a Bayesian plot, but I am not 100% sure what it is and whether it is possible to plot this in an R.
An example of the plot is here: ...
1
vote
0answers
74 views
How do you call a situation or a point at wich statistics data stops changing?
When I calculate a prediction, for instance I am trying to find out who is going to win elections and I do that by asking people who they voted on. After a certain number of answers my data will stop ...
1
vote
0answers
210 views
Error bars calculation in a split-plot design
I have the following experimental design :
Sampling is carried out on three random sites (Factor Site is coded : Site1, Site2, Site3).
Within each site, sampling is carried out in a dry plot and in a ...
1
vote
0answers
127 views
How to make a forest plot for single experimental group using event rate and sample size?
I am trying to create a forest plot for a small sample of case series. As the studies are case series there is only an experimental group, no control group. I would like to use event rate and sample ...
1
vote
0answers
298 views
Plotting Multiple Proportions With Standard Error
The Data:
The observed probability (proportions) of three mutually exclusive events for five species.
What is the best way to plot these data in R along with their standard errors? I'd like to avoid ...
0
votes
0answers
19 views
Sorting/Clustering similarity matrices
I wonder, what are the available libraries in R or Python to do correlation matrix clustering (sometimes it is referred to clustering).
I also, wonder, after clustering/grouping each point. What is ...
0
votes
0answers
25 views
Signature plots definition
While reading some articles about High frequency statistics in financial markets, more precisely wile reading about microstructure noise, I was confronted by some signature plots simulated graphics.
...
0
votes
0answers
25 views
Plot normal probability for effect estimates in factorial design in R
I have 2 level Design (DOE) with 4 factors (A,B,C,D). I've already calculated the estimates for each main effect and all the interaction effects.
How can I construct the normal probability plot to ...
0
votes
0answers
39 views
Visualising mixed effects factorial design results
My model is a mixed, multi-factorial one. I am using lme (library nlme) because I also need to include weights to account for heteroscedasticity. I would like to be able to visualize the model ...
0
votes
0answers
29 views
Visualize a feature selection
I'm implementing a fractal dimension algorithm, and I have a database of images. For each image, the algorithm will return a number. How can I visualize that number? I want to see if it's suitable for ...
0
votes
0answers
52 views
Plotting predictor effects with credible intervals for Bayesian regression
this is probably a pretty basic problem but got stuck with it.
When doing GLMM in R I’ve been using the nice package “effects” from John Fox when I had to display fixed effects of continuous ...
0
votes
0answers
40 views
Analysis and representation of ranking data
I need your help in analyzing and representing ranking data.
Background - there are four models, say A, B, C and D that rank asset classes based on their riskiness. I have ranking data for a week, ...
0
votes
0answers
38 views
Question on re-indexing data for graphing
A file contains data for 1975-2012 of housing prices across a panel of countries.
However, it's indexed to 2005, so each country's housing price series converges to 100 in 2005, then they spread ...
0
votes
0answers
74 views
Differences between visualization of correlation line fit and R^2
I have to figures below, generated using R`s lm function.
If you notice Figure A (above) has higher R^2 value than Figure B (below).
But visually, it is clearly that data in Figure B fits better with ...
0
votes
0answers
20 views
Possible graphical options for my requirement
These are few of the few extra tasks which I wanted to incorporate graphically . It will include main thing as
1 . An 'x' travelling a complete process and the milestones which are covered.
Apart ...
0
votes
0answers
61 views
What are the limitations of graphical displays with a small sample size (n=18)
I have a small sample size (n=18) and am performing univariate analysis. I have graphical displays (stem and leaf plot, dotplots, boxplots and a cumulative distribution plot). I am trying to ...
0
votes
0answers
73 views
How to present the Bayesian approach
I am writing a dissertation in which I use maximum likelihood estimation and an alternative Bayesian approach. I have written up the maximum likelihood estimation approach. However, I need some advice ...
