Tagged Questions

4
votes
3answers
211 views

What is the best way to visualize relationship between discrete and continuous variables?

What is the best way to show a relationship between: continuous and discrete variable, two discrete variables ? So far I have used scatter plots to look at the relationship between continuous ...
0
votes
0answers
33 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 ...
2
votes
2answers
127 views

How to visualize counts of different categories

Suppose we have $10$ boxes and we are interested in measuring the number of apples, oranges and pears in each. What is a good way to visualize how the boxes relate to each other in terms of the ...
4
votes
2answers
153 views

How to best display crosstab data?

I have a 10x10 matrix composed of two variables with 10 brands each. One variable is the brand purchased, the other is the brand considered. My matrix shows a crosstabulation between the two. I need ...
2
votes
2answers
591 views

Plotting logistic regression interaction (categorical) in R

Hello I have the following logistic model with a categorical variable interaction which I wish to plot in R but I am struggling to find any solutions - ...
11
votes
2answers
579 views

Alternative to sieve / mosaic plots for contingency tables

I once stumbled across a type of plot for categorical data (i.e., contingency tables) on the internet, which I really liked, but I've never found it again, and I don't even know what it's called. It ...
1
vote
0answers
585 views

How do I create a categorical scatterplot in R like boxplots? [closed]

Does anyone know how to create a scatterplot in R to create plots like these in PRISM's graphpad: ...
17
votes
2answers
735 views

How to visualize an enormous sparse contingency table?

I have two variables: Drug Name (DN) and corresponding Adverse Events (AE), which stand in a many-to-many relation. There are 33,556 drug names and 9,516 adverse events. The sample size is about 5.8 ...
5
votes
1answer
412 views

How to visualize both total counts of categories and proportions of subcategories in a plot?

Suppose I have samples drawn from categories A, B, C. Within those categories, I have subcategories d,e,f which are found in all 3 categories. I want to visualize how many samples I have form ...
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: ...
7
votes
1answer
674 views

Is it possible to create “parallel sets” plot using R?

Thanks to Tormod question (posted here) I came across the Parallel Sets plot. Here is an example for how it looks: (It is a visualization of the Titanic dataset. Showing, for example, how most of ...
3
votes
2answers
376 views

Plotting changes in a three-valued ordinal variable across two time points using R

I have a dataset with 4025 participants across two time points. I have scored them on a three-point categorical variable (Unlikely, Possible, Probable) at each time ...
4
votes
2answers
164 views

Categorical or continuous scale for area chart?

I would like to plot the attached income distribution dataset (rendered as an image) as an area chart. As you can see, personal income is divided into 26 intervals of varying width. I also have the ...
5
votes
1answer
484 views

Calculating predicted values from categorical predictors in logistic regression

Context: I am working with an ordinal logistic model and trying to interpret/present the results. The model has two continuous predictors of interests, and a mix of continuous and categorical ...
6
votes
2answers
2k views

Quickly evaluate (visually) correlations between ordered categorical data in R?

I'm looking for correlations between the answers to different questions in a survey ("umm, let's see if answers to question 11 correlate with those of question 78"). All answers are categorical (most ...