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Greetings, I'm using MSM (mutli-state markov modeling) package to study the progression of fibrosis in U.S hepatitis C population. I find this is a very fascinating tool for an applied researcher like myself. I have a four stage progression only model without any absorbing stage, also assuming no misclassification error in the data for the time being. I also have a couple covariates in the model. so I get thes...

...et and available in R, learning a lot of theoretical things on about SVM esemble or Bagging method, I can't apply Bagged SVM esemble or Bagging method with R to my data because of many doubts and difficulties. This is the reason why I have decided to ask the expert for help. I have a sample of hepatitis data. The variable I would like to classify pattern recognition is class type in hepatitis data. I don't understand at all about the Bagging algorithm. I attach the following data and journal about bagging algorithm. What should I do ? could you help me?? Thank you very much for your attentio...

...d aggregation. Can you help me?? thanks you so much for your attention best wishes, IUT TRI UTAMI Bogor Agricultural Institute, Indonesia -------------- next part -------------- #SINGLE SVM library(colorspace) library(rpart) library(e1071) library(MASS) dataset <- read.csv("E:/thesis/SVM/hepatitis data csv.csv",header=T,sep=";") attach(dataset) index <- 1:nrow(dataset) testindex <- sample(index, trunc(length(index)*30/100)) testset <- dataset[testindex,] trainset <- dataset[-testindex,] trainindex <- sample(index, trunc(length(index)*70/100)) tuned <- tune.sv...

....more..06." > > head(mort$X) > [1] Accidental poisoning > [2] Addiction to prescription medication > [3] Alcohol abuse and alcohol-related psychosis > [4] Asthma > [5] Blood and hematopoietic disorders > [6] Cerebrovascular disease > 65 Levels: 1109 1869 36 ... Viral hepatitis > > En cambio mira el dataset "mortality": > > names(mortality) > [1] "15-24 (79)" "25-34 (79)" "35-44 (79)" > [4] "45-54 (79)" "55-64 (79)" "65-74 (79)" > [7] "75-84 (79)&quot...

...uot;X85.94..06." [19] "X95.and.more..06." > head(mort$X) [1] Accidental poisoning [2] Addiction to prescription medication [3] Alcohol abuse and alcohol-related psychosis [4] Asthma [5] Blood and hematopoietic disorders [6] Cerebrovascular disease 65 Levels: 1109 1869 36 ... Viral hepatitis En cambio mira el dataset "mortality": > names(mortality) [1] "15-24 (79)" "25-34 (79)" "35-44 (79)" [4] "45-54 (79)" "55-64 (79)" "65-74 (79)" [7] "75-84 (79)" "85-94 (79)&quot...

Estimados Queremos con el paquete FactoMineR hacer este tipo de tabla de mortalidad que lea los datos desde de una tabla csv Realizamos lo que viene en la ayuda y es muy interesante, sin embargo cuando mandamos a leer desde la tabla csv original de los autores no hace el análisis porque algo falta y no nos percatamos de que es. Adjunto tabla original Saludos cordiales #ESTO ES LO QUE