Dear R List, I have a dataset with the following structure:
"""personal_id, p_0, p_1, p_2, .... , p_36, p_37 1, NA, 1, 4, .... , 1, NA 2, NA, NA, NA, .... , 4, NA . . . 6020, NA, 3, 3, ...., NA, NA 6021, NA, 2, 2, ...., 4, NA """ I used some made-up data. It is just meant to show the structure of the dataset. The variables of interest are p_0, ... p_37. They represent types of activity of the 6021 persons interviewed in 38 consecutive period. The values for p_0 and p_37 are coded as follows: 1 = self-employed 2 = employed 3 = in training 4 = unemployed NA = no information available p_0 is the period before p_1. This period was just before the survey, so that none of the individuals were interviewed in this period. p_37 is the period after p_36. This period was just after the survey, so that none of the individuals were interviewed in this period. I would like to transform this dataset into information on the lenght of the first spell of unemployment. (If there are multiple spells I would just like to use the first one.) My question is how can I convert the records in this dataset into survivul objects - "Surv()" - so that they can be used with a function like "coxph()". Could anyone give me a pointer to a function that performs this specific conversion? Thanks in advance! Guido Get your new Email address! Grab the Email name you've always wanted before someone else does! http://mail.promotions.yahoo.com/newdomains/aa/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.