eeptools | Educational Evaluation and Policy Tools for R

When I read an excel file in R, a column of birth dates has some of its values converted to 5-digit integers (e.g. line 3). I guess they represent the number of days?

Here I would like to convert both the dates and the integers in the column 'DOB' into years (i.e. ages). I am using the age_calc function from eeptools package. Therefore I would like some help in converting all the values in the column into proper dates, so that I can use the age_calc function without returning errors. Thanks in advance.

I am trying to calculate the age based on birth date using eeptools in R.

I follow some tutorial pages but it didn't work

My raw dataset is like below :

I have a data frame and I want to calculate the difference in years of two columns (Let's called id "Age").

I am having problems adjusting it to the date of the second column.Althoug, I managed to do it accordding to Sys.Date():

I am having a problem to calculate the age of all my participants.

I have the date of birth recorded only in terms of month and year (XX/XXXX) and I have the exact date when the data was recorded (XX/XX/XXXX).

I wanted to use the age_calc function from the eeptools package to calculate the age. Unfortunately, something does not work. I suspect it is because one date is exact whereas the other is not specifying the exact date.

This is what I have tried:

I am trying to calculate the age from date of birth using age_calc from eeptools library:

I initially figured memisc comes in eeptools package. So I installed eeptools package.

I am trying to use age_calc() from eeptools to calculate age from the date of birth in the dataframe, df.

I'm an absolute R beginner here working on a Master's project.

I have a data.frame that contains information on trotting horses (their wins, earnings, time records and such). The data is organised in a way that every row contains information for a specific year the horse competed and including a first row for each horse of "Total", so there's a summary for every variable for it's total competing life. It looks like this:

I created a new variable with their age using the age_calc function in the eeptools package:

how can I calculate age in a large data set by excluding entries where the recent date is before the date of birth probably due to data entry problems in r dob<-c("02/02/2005","12/04/2005","18/06/2006","22/06/2007","04/08/2002","15/02/2006") sampledate <-c("14/05/2014","18/08/2016","12/02/2002","12/08/2012","13/07/2015","09/09/2013") df=data.frame(dob,sampledate) View(df) df$dob=as.Date(df$dob,"%d/%m/%Y") df$sampledate=as.Date(df$sampledate,"%d/%m/%Y")

library(eeptools) df$age=age_calc(dob = df$dob , enddate = df$sampledate, units = "years")

Error in age_calc(dob = df$dob, enddate = df$sampledate, units = "years") : End date must be a date after date of birth

how can I calculate for the others and exclude the third observation