Linked Questions
21 questions linked to/from How to use boxplots to find the point where values are more likely to come from different conditions?
15
votes
2
answers
51k
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How to plot binary (presence/absence - 1/0) data against continuous variables [duplicate]
I am trying to plot presence/absence (1/0) of a sample species against various environmental variables.
I have put presence/absence on the y-axis and the environmental variable (in this case ...
387
votes
12
answers
379k
views
Difference between logit and probit models
What is the difference between Logit and Probit model?
I'm more interested here in knowing when to use logistic regression, and when to use Probit.
If there is any literature which defines it using ...
57
votes
2
answers
132k
views
Interpretation of R's output for binomial regression
I'm quite new on this with binomial data tests, but needed to do one and now I´m not sure how to interpret the outcome. The y-variable, the response variable, is binomial and the explanatory factors ...
36
votes
2
answers
35k
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Interpretation of simple predictions to odds ratios in logistic regression
I'm somewhat new to using logistic regression, and a bit confused by a discrepancy between my interpretations of the following values which I thought would be the same:
exponentiated beta values
...
25
votes
3
answers
28k
views
How to present box plot with an extreme outlier?
I could use some guidance about presenting some data.
This first plot is a case-control comparison for the cytokine IL-10. I've manually set the y axis to include 99% of the data.
The reason I set ...
16
votes
3
answers
6k
views
ROC curve crossing the diagonal
I am running a binary classifier at the moment. When I plot the ROC curve I get a good lift at the beginning then it changes direction and crosses the diagonal then of course back up, making the curve ...
13
votes
4
answers
4k
views
Graphing small samples
I have a small data set of 14 separate times to complete a task. However I am having difficulty finding an appropriate graph to use to graph the data. If the sample was larger I would use a box plot ...
8
votes
5
answers
8k
views
When does logistic regression not work properly?
I need to find a situation in which logistic regression does not work well. Furthermore, I would like to know when a random forest might perform better than a logistic regression model.
6
votes
2
answers
6k
views
Approaches for comparing visual representation of two distributions with unequal sample sizes
I have two distributions of continuous, unpaired measurements. I would like to visualize the two distributions with a pair of histograms, counting measurements that fall over a bin's interval.
Are ...
6
votes
1
answer
15k
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Minimum "recommended" sample size for boxplots? Boxplots for different sample sizes
What is the minimum "recommended" sample size to generate boxplots?
If I'm comparing different methods and each method has a different sample size, is it fine to use boxplots for this comparison? If ...
4
votes
2
answers
8k
views
Understanding lack of fit in logistic regression
How does one interpret the fact that a dataset has a poor fit / lack of fit with respect to a logistic regression model? I can make sense, for example, of a lack of fit in the case of a linear ...
2
votes
1
answer
12k
views
How to calculate total error of decision tree
If have a decision tree, say with two leaves, how do I calculate the total error? One can calculate the error for each leaf, but is the total error the sum of the errors or the product (or neither)?
5
votes
1
answer
2k
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u-shape for logistic regression?
I'm stuck and have real problems what to interpret from my current results. Maybe you can help me out? Thanks!
Lets say... I'm investigating on the influence of health factors on dying.
Dependent ...
1
vote
2
answers
2k
views
Histogram or box plot, to compare two distributions of means?
I've got two different distributions of participant reaction time means (20 data points for condition A, another 20 for condition B). I'm stuck trying to decide between using a histogram, or a box ...
2
votes
2
answers
4k
views
What is null hypothesis in the deviance goodness of fit test for a GLM model?
To test the goodness of fit of a GLM model, we use the Deviance goodness of fit test (to compare the model with the saturated model).
In many resource, they state that the null hypothesis is that &...