All Questions
54
questions
0
votes
0
answers
43
views
How to report ANOVA results when comparing to negative binomial models?
I want to report the results of an ANOVA test used to compare two negative binomial models in R:
anova(model1, model2, test = "Chi")
I receive the ...
3
votes
2
answers
280
views
Key scientific publications reporting non-normal GLMMs in marine biology
I developed Poisson and Binomial GLMMs following the steps described in the excellent book from Zuur et al. (2009) Mixed Effects Models and Extensions in Ecology with R and I'm now ready to include my ...
81
votes
4
answers
29k
views
How should tiny $p$-values be reported? (and why does R put a minimum on 2.22e-16?)
For some tests in R, there is a lower limit on the p-value calculations of $2.22 \cdot 10^{-16}$. I'm not sure why it's this number, if there is a good reason for ...
2
votes
1
answer
798
views
Reporting the results of nonparametric regression using kernel weights
I am wondering how I can present the results of nonparametric regression. I performed the nonparametric tests using R, and R package np.
The commands used for this ...
1
vote
0
answers
27
views
Necessary diagnostics of multiple quantile regression
I am wondering what are necessary statistics for multiple quantile regression model.
I am considering creating a model e.g. using the quantreg R package:
...
1
vote
3
answers
436
views
Which model fit indices do you report from lavaan CFA for scale development?
For RMSEA there seems to be a regular value and two robust values. Are there any recommendations on which of the three values to report? Would you report 1, 2 or 3 from ...
2
votes
1
answer
90
views
The "detectseparation" package. How to interpret its results?
I am running a logistic regression on financial data of several companies. The dependent variable is the company to be a smoother (binary variable: 0, 1), and there are several independent variables: ...
3
votes
2
answers
326
views
Beta regression coefficient interpretation
I'm trying to use beta regression on a data set where the response variable is in percentage (i.e. between 0 and 1), so let's say it's the unemployment rate. I'm having trouble wrapping my head around ...
0
votes
0
answers
33
views
Should I report df, SSQ, F and p, or should I report estimate, std error, t and p for my linear model?
Im using multiple linear models/regressions and wondering whats the best way to report a model in a scientific manuscript? I see so many versions. Should i go for the info in summary() or anova()? If ...
1
vote
1
answer
459
views
How to report on model selection
I have run model selection and have been advised to use the BIC value to determine the best model for my purposes.
However, having looked around online I cannot seem to find a standard way to report ...
0
votes
0
answers
23
views
Showing names of levels in glmer R [duplicate]
I have a simple question that would help me a lot in interpreting my results
I ran a glmer model in R with the following variables:
a binary DV that is dummy coded
a categorical IV1 named "...
2
votes
1
answer
79
views
How do we report a regression with categorical * continouns interaction?
I was wondering how would be the best way to report this model ?
...
7
votes
3
answers
4k
views
From SAS to R - what are "must" packages for reporting
One big advantage of SAS over R is arguably its ability to produce quite complex reports with few statements; think of PROC SUMMARY or ...
0
votes
1
answer
97
views
Properly displaying Categorical Variables Represented as R Factors in a Table
I submitted the following table for peer review in a manuscript. The reviewer comments showed that the table confused them. In our study we have a pre- and post-score that we measured as DVs. Our ...
1
vote
2
answers
8k
views
How to report results from linear mixed models: interaction terms changing significance
I've used linear mixed models to test if factors genotype and sex influence colon length, while including batch as a random effect. I first ran the test...