r-factor

Suppose the following data frame, I want to factorized var, and label numbers to Greek letters, from 1 to alpha, 2 to beta, 3 to gamma. But the following code does not work. var<-c(1,1,2,2,3,3) df<-as.data.frame(var) df$var<-factor(df$var, levels=c(1,2,3), labels=c("1"=expression(alpha), "2"=expression(beta), "3"=expression(gamma))) Why the final data frame is not greek letters but just text expressions? Can anyone help me on this? Thanks a lot. Does your locale support these characters? Does '\u03b1' print an alpha character? If not, you'll need to change your encoding. E.g., Sys.setlocale(

This question already has answers here : How can i convert a factor column that contains decimal numbers to numeric? (4 answers) Closed 6 years ago . Below is dataframe df1 of which I want to convert column "V2" from factor format to numeric without changing the current values (0 ; 0 ; 8,5 ; 3). df1= V1 V2 V3 X2 X3 4470 2010-03-28 0 A 21.53675 0 4471 2010-03-29 0 A 19.21611 0 4472 2010-03-30 8,5 A 21.54541 0 4473 2010-03-31 3 A NA NA Since column "V2" is in factor format I first convert it to character format: df1[,2]=as.character(df1[,2]) Then I try to convert "V2" to numeric format: df1[,2]

I am trying to summarise data from a household survey and as such most of my data is categorical (factor) data. I was looking to summarise it with plots of frequencies of responses to certain questions (e.g., a bar plot of percentages of households answering certain questions, with error bars showing confidence intervals). I found this excellent tutorial which I had thought was the answer to my prayers ( http://www.cookbook-r.com/Manipulating_data/Summarizing_data/ ) but turns out this is only going to help with continuous data. What I need is something similar that will allow me to calculate

I have a data frame with 5 different columns: Test1 Test2 Test3 Test4 Test5 Sample1 PASS PASS FAIL WARN WARN Sample2 PASS PASS FAIL PASS WARN Sample3 PASS FAIL FAIL PASS WARN Sample4 PASS FAIL FAIL PASS WARN Sample5 PASS WARN FAIL WARN WARN In each column, each level is assigned a different factor. In column 1, "PASS" is 1. In column 2, "PASS" is 2 and "FAIL is 1. In column 3, "FAIL" is 1. In column 4, "PASS" is 1 and "WARN" is 2. In column 5, "WARN" IS 1. It is doing it by alphabetical order I need "PASS" be 1 in all columns, "WARN" to be 2 in all columns, and "FAIL" 3 in all columns, so that

I have the following data.frame in R: > daily DoW Duration 1 Friday 14.0000000000000 2 Monday 21.0000000000000 3 Saturday 12.0000000000000 4 Thursday 28.0000000000000 5 Tuesday 12.0000000000000 6 Wednesday 91.0000000000000 7 Sunday 20.0000000000000 I'd like to change the order of the factor levels so that the weeks are in (US) day-of-week order. It looks like I can do this in a slow, puzzling way with relevel() . But this only takes 1 numeric argument and moves it to the top. So, relevel(daily$DoW, 7) , moves Sunday to the top, but the rest remain unordered (which means I need to relevel it in