54k views

### 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 ...
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391k 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 ...
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136k 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 ...
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36k views

### 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 ...
• 867
29k 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 ...
• 251
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 ...
• 4,634
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 ...
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9k 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.
16k views

### 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 ...
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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 ...
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 ...
• 579
13k 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)?
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3k views

### 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 ...
5k 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 &...
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