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Questions tagged [r]

Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.

0 votes
0 answers
9 views

Why is the ones trick making my hurdle model crash in jags?

I'm running a hurdle model in JAGS but if randomly crashes for reasons I cannot determine. The model describes the presence absence of a species and, when the species is present, its biomass. It uses ...
Boussens-Dumon Grégoire's user avatar
0 votes
0 answers
40 views

How to estimate the impact of a continuous variable x on a continuous dependent variable y by group of increasing range of y?

From a database of about 40,000 rows, I would like to test whether the concentration of a drug x0 has an impact on the concentration of a plasma biomarker ...
denis's user avatar
  • 195
2 votes
1 answer
55 views

R Cox.zph vs Stata estat phtest

Looking at the GBSG2 dataset from TH.data package I did a Cox model in Stata and R on the same covariables and tested for proportional hazards using cox.zph in R and estat phtest in Stata. As far as I ...
User LG's user avatar
  • 231
0 votes
0 answers
17 views

Fine & Gray fails due to singularity - but Cox and binomial regression do not

I'm currently performing an analysis with various survival models. I have relatively many binary covariates (up to 8) with a relatively low number of events (~80). Using the Fine & Gray competing ...
user avatar
0 votes
0 answers
27 views

Why the one-sided p-value is so much smaller than two-sided for K-S test? [closed]

I am using r function ks.test(x,y) to perform a K-S test on 2 sets of data (significance of difference between distributions). When calculating the two-sided p-...
HelloBiology's user avatar
2 votes
0 answers
56 views

Logistic model giving mixed results

I am currently creating two logistic regression models (one with forward selection and one with LASSO) using R to predict whether a patient has a malignant or benign breast cancer from this dataset: ...
Leo_Miche's user avatar
0 votes
0 answers
12 views

Problem with fractional cointegration test result interpretation

I'm struggling to interpret result of cointegration test (fractional case (Johansen and Nielsen, 2012)). This test suggest that in two non-stationary series could be a cointegration but in fractional ...
Monkey Follow the The Sun's user avatar
1 vote
1 answer
37 views

Helmert contrasts in lm() or emmeans()

For context, I used to set contrasts in my model by assigning them to my variable as a matrix using contrasts(). For example, for a factor with four levels and a ...
antvan's user avatar
  • 149
3 votes
1 answer
40 views

Writing lme mixed model as equation: equatiomatic vs LearnVizLMM - which one is right?

Suppose we have: library(lme4) data("sleepstudy") model = lmer(Reaction ~ Days + (Days|Subject), data = sleepstudy) Now we extract the equation with ...
robertspierre's user avatar
0 votes
0 answers
20 views

Plotting Boxplots with measured variable on the X-axis [closed]

I have data set on underground water mineral content measured along a river basin at three locations: Upper, Middle and Lower. The measured values are Hydrocarbonate, Chloride, Sulphate content and EC....
Collins Mukhala's user avatar
0 votes
0 answers
34 views

Specifying a correct correlation structure in a hierarchical linear model using nlme's "correlation"-argument

I am modelling longitudinal data, using hierarchical linear modeling (HLM). There are 6 measurement points. We assume that the data between these measurement points is correlated. To account for such ...
Enno Winkler's user avatar
4 votes
1 answer
29 views

Sample size calculation Split Plot design

I'm currently trying to calculate the sample size for a completely randomized split-plot design. The design includes two treatments at the whole-plot level and two treatments at the sub-plot level. ...
Amy Mont's user avatar
0 votes
1 answer
25 views

Handling recurring convergence issues in multiple change point detection in R

I'm trying to run a series of multiple change point models on a large number of time series variables, but I am running into occasional convergence issues that I would like advice on how to handle. I ...
John_42's user avatar
2 votes
0 answers
37 views

Calibration with all data: data-poor scenarios

I’m working on species distribution modeling with binary data (presence��/ absence, 1 / 0). My target species is extremely rare (prevalence ~0.014), so my dataset is almost all zeros and just a handful ...
LolaRT96's user avatar
1 vote
0 answers
26 views

How to estimate Realtive Risk in GLM models with interaction term?

I want to assess if high levels of an A variable affect the impact of temperature on hospital admissions. I used a dlnm models combined with glm to estimate RR: ...
Korina's user avatar
  • 71

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