I'm not sure that my model is the best, and I would welcome any suggestions you may have. For example, you may argue that it's better to use a 6th degree than an 8th degree polynomial for modeling, and if you have a valid reason, I would agree with you. Thank you! NOTE: Please...
m1 <- glm.nb(Aphid$X1S1.Exp ~ Aphid$Genes) There were 29 warnings (use warnings() to see them) > warnings() Warning messages: 1: In theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > ... : iteration limit reached 2: In theta.ml(Y,...
A friend of mine asked me the other day how she could use the function optim in R to fit data. Of course there are functions for fitting data in R and I wrote about this earlier. However, she wanted to understand how to do this from scratch using optim.
We use three functions (to neatly separate concerns). stripGLMModel() is from Trimming the fat from glm models in R and does the ugly work of stomping out fields we are not using and re-writing environments of functions. This is exactly the work we have to do because the glm() fun...
Logistic regression implementation in R R makes it very easy to fit a logistic regression model. The function to be called is glm() and the fitting process is not so different from the one used in linear regression. In this post, I am going to fit a binary logistic regression model and...
Let me come back to the output of the aggregates function. You can transform it in a beautiful table using reshape(), xtabs() and ftable(): rag <- reshape(ag, varying=list(3:4), direction="long", v.names="y") rag$time <- factor(rag$time) ft <- ftable(xtabs(y~group+level...
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The verb mutate from the dplyr library is useful in creating a new variable. We don’t necessarily want to change the original column so we can create a new variable without the NA. mutate is easy to use, we just choose a variable name and define how to create this variable. Here is...
This leads to my question: How can I use the constraintb_i >=0in my model? In my previous research I found the function glmc(), but I'm not sure how to include my constraint here. As an alternative I also thought of analyzing this model in a Bayesian way, but yet I ...
How to use confusionMatrix in RAsk Question Asked 3 months ago Modified 3 months ago Viewed 56 times Part of R Language Collective 0 logit_cm <- confusionMatrix(data=logitresp, reference=actual) logit <- glm(Outcome ~ ., family = binomial (link = logit), data = training_data) Ret...