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Goodevening to everyone, I am trying to create a clustered barplot for the following 2 variables who have more cases but as an example i am giving you 10 items: sex聽 socio-economic status 1聽聽聽聽 1 2聽聽聽聽 2 2聽聽聽聽 2 2聽聽聽聽 3 2聽聽聽聽 2 1聽聽聽聽 4 1聽聽聽聽 1 1聽聽聽聽 1 2聽聽聽聽 3 2聽聽聽聽 1 where sex: 1:man, 2:woman 聽聽聽聽聽聽聽聽聽聽 socio-economic status:1:Low, 2:Medium, 3:High, 4:Very High Does anybody came across with

Hello. I have run the command imp<-mice(mydata, im=c("","pmm","logreg","logreg"),m=5)  for a variable with no missing data, a numeric one and two variables with binary data. I got the following message: There were 37 warnings (use warnings() to see them) > warnings() Warning messages: 1: In any(predictorMatrix[j, ]) ... : coercing argument of

Goodmorning to everyone, I am trying to create a clustered barplot for the following 2 variables who have more cases but as an example i am giving you 10 items: sex聽 socio-economic status 1聽聽聽聽 1 2聽聽聽聽 2 2聽聽聽聽 2 2聽聽聽聽 3 2聽聽聽聽 2 1聽聽聽聽 4 1聽聽聽聽 1 1聽聽聽聽 1 2聽聽聽聽 3 2聽聽聽聽 1 where sex: 1:man, 2:woman 聽聽聽聽聽聽聽聽聽聽 socio-economic status:1:Low, 2:Medium, 3:High, 4:Very High Does anybody came across with a

Thank you all for your help about the encoding of my yahoo.gr. I am sending you now the original data. Hope tha you can read them. I am trying to create a clustered barplot for the following 2 variables: > h$rocbiopsy1 聽 [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 聽[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 聽[75] 0 0 0 0 0