All Questions
Tagged with r regression
4,763
questions
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29
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Need help using "reframe" to run multivariate regression across multiple data sets (changing model from one year to multiple years)
I have a simple multivariate regression model testing the impact of two variables on another over one year (1971). I have a large data set that includes these data over a number of years and am being ...
- 11
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11
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GEE Modelling with 'geepack' showing contrast errors [duplicate]
I want to use Generalized Estimating Equations (GEE) to model longitudinal survey data. Participants' responses were recorded at three timepoints, and I have multiple independent variables that I ...
- 13
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15
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How to perform model comparison based on multinom( ) function of nnet package in R? [migrated]
My independent variables are gender and sequence, and the dependent variable is intervention (including 3 intervention methods). I established a multinomial logistic regression model to examine the ...
0
votes
1
answer
31
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NA values when using avg_predictions() from marginaleffects with a flexsurv model
I'm unsure why I do not get standard errors or confidence intervals when I fit parametric survival models and compute the predicted mean survival times using the avg_predictions(). I tried using ...
- 15
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20
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How do I correctly specify nesting in the sommer R package?
I accustomed to lme4 where it would be simply: (1|genotype/root_ID) but it's unclear to me looking through the documentation the appropriate way to do this in sommer.
mod1 <- mmer(Y ~ 1,
...
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2
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43
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Export latex table from summary of rddensity function in R
I am interested in exporting the summary of the rddensity function in latex in R. I've tried to use modelsummary without sucess, and capturing output also hasn't worked out. My objective is to export ...
1
vote
1
answer
38
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Error when ploting the original date with the predictions of the best models using curve()
I'm trying to plot the original date with the predictions of the best models using curve() because I'm working with polynomial models, but I keep getting this error:
Error in curve(predict(best_models\...
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30
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Correlation alternatives / How to go about testing this relationship? [migrated]
I have a large set of temperature data from upstream and downstream gauges. I am trying to find the influence of dam release on downstream temperatures. To do this, I am comparing correlation between ...
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1
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0
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38
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Similar regression table with modelsummary as fixest with etable()
With fixest one can use etable() to produce regression tables of the form
library(fixest)
library(modelsummary)
data("trade")
lm1 <- feols(log(Euros) ~ log(dist_km), trade)
lm2 <- ...
- 89
3
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0
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89
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How can I specify and visualize an interaction in a rms cph model without the main effects included, i.e. with column?
I have a time-to-event model (cph or coxph) with an interaction of a binary and a continuous variable. It works with a *, but it does not work with :. Why is that?
library("survival")
...
- 821
0
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1
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45
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Regression Line help in ggplot2
I am trying to add a regression line into my ggplot. Below is the code I am using to make the plot. I am wanting to plot the regression line in the first plot (L5andDownTempAvgPlot) but keep running ...
- 39
1
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1
answer
178
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"Error in initializePtr(): function 'cholmod_factor_ldetA' not provided by package Matrix" gets displayed while trying to generate mixed effects model
I have already tried the previous solutions displayed by some users. I have tried removing and reinstalling Matrix and lme4 packages. To make matters worse, now R is unable to install lme4 or Matrix ...
1
vote
1
answer
51
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Error in lm.fit(x,y,offset = offset, singular.ok,...) for exponential lm() model in R
I am trying to apply a exponential regression on the given data frame :
df <- structure(list(Type_stat = c("Vitesse_min", "Vitesse_max", "Vitesse_min",
"...
- 468
0
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0
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23
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Interacting Instrumental Variables Using fixest Package
In the following example, I regress y on and x1 and x2 and instrument for x1 using z1. I'd like to add another term, the interaction between x1 and x2, but I'm unsure how. Can someone point me in the ...
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51
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Getting the dispersion parameter from a negative binomial regression in python
R code to find the dispersion parameter of the negative binomial regression model.
mod.Syn.L.plusGamma <- glm.nb(Syn ~ offset(I(1*log(L))), data = Lang.data)
r = mod.Syn.L.plusGamma$theta
The ...
