# All Questions

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8 views

### Correlating two normal variables only via their variances in R [closed]

Keeping the mean of x and y as 0, I was wondering if ...
6 views

### Plotting accuracies obtained through three different methods

I want to plot accuracies for 100 products obtained through three different methods. The data resembles the table below. What is the best way to represent visually these data? I was thinking of having ...
10 views

### Is a Google Sheets fit model a valid place to retrieve starting parameters for nls() in R Studio?

0 I am trying to fit an exponential model of form y = ae^(xb) in R to the data I have ran below, using the nls() function. I have read here and in other places that I need to feed the model reasonable ...
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### Permuting outcome variable to estimate null likelihood ratio distribution for Poisson GLM

I fit a Poisson GLM using a set of candidate explanatory variables ($\lambda = e^{\beta_{0} + \beta_{1}x_{1}+\beta_{2}x_{2}+...}$), tested against the global null hypothesis ($\lambda = e^{\beta_{0}}$)...
6 views

### Hurdle models in R: sign of the hurdle component coefficients

I used to fit hurdle models with pscl::hurdle, I now use glmmTMB. The coefficients of the zero component of pscl::hurdle have the opposite sign of the coefficients of the zero-inflation component of ...
5 views

### How to include two interactions which share one of the variables (A) in a linear regression? [closed]

Let's say I have a response variable Y, and I want to predict it using variables A,B and <...
16 views

### What is the defintion of variation in a box plot?

Variation is a term I have always been confused with. The first time I heard it, it was defined as "the different between the max and min values in a distribution". Lately, I've been hearing ...
6 views

### What would be best, using turnout levels or rates as the dependent variables?

I'm looking at the effect of a specific registration requirement on turnout and have been trying to decide what form the dependent variable should take. My two main options are turnout levels (i.e. ...
14 views

### Use bootstrap mean to remove bias from the statistic?

I have a data sample on which I apply a statistic called "$\alpha$". I then use a standard bootstrap analysis on the data which results in something like this: As can be seen, the bootstrap ...
14 views

21 views

### P value adjustment for pairwise comparisons of negative binomial

Question 1) Am I appropriately doing the pairwise comparisons? Question 2) Why is the Sidak method used for the emmeans? Should I instead use adjust = "none" for these? Context: I have a ...
21 views

### How to interpret random effect coefficients in glmer

I am studing relationship between the competition facing a hospital and the death at 30 days within it. I performed mixed-effect model assuming that patient in same hospital should be more correlated....
16 views

### Is this an instance of convergent evidence?

In psychometrics, convergent validity is a source of proof for construct validity. It is said that it is the degree to which test scores are correlated with test scores of relevant constructs or the ...
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### Some questions about linear model and generalized linear model (Are the process of building a model the same in these two models?)

I am learning linear regression model from the textbook "A Second Course in Statistics: Regression Analysis （seventh edition)" by William Mendenhall and Terry Sincich. There is a figure ...
26 views

### Forward and backward stepwise regression (AIC) for negative binomial regression (with real data)

I am doing some count data analysis. The data is in this link. Column A is the count data, and other columns are the independent variables. At first I used Poisson regression to analyze it: ...
8 views

### Different outcomes between XGBoost and GBM observation weights

I've noticed that the weights argument in the xgboost and gbm r packages don't have the same effect. I had hoped to move from gbm to xgboost for performance reasons, but am not sure how to do so given ...
11 views

### How to find out if a set of time series regress towards the mean?

I have a dataset with 10 year daily measurements (price earnings) of N similar stocks. I'm trying to figure out: if the daily median is stationary (otherwise it wouldn't make sense to talk about a &...