search for: date3

Hi, I am trying to assign "Season" values to dates depending on when they occur. For example, the following dates would be assigned the following "Season" numbers based on the "season" intervals detailed below in the code: ddate Season 29/12/1998 20:00:33 1 02/01/1999 05:20:44 2 02/01/1999 06:18:36 2 02/02/1999

...data and best attempt at using apply. I didn't see a solution via Google or the Baron search site. I'd be grateful for any suggestions or solutions. I'm using R 2.0.0 on Mac OS X. Thank you, Stephen Weigand ### Test data date1 <- c(1000, 2000, 3000,4000) date2 <- date1 + 100 date3 <- date2 + 100 class(date1) <- class(date2) <- class(date3) <- "Date" test <- data.frame(date1, date2, date3) print(test) ### create a function for apply() medDate <- function(x){ obj <- unclass(unlist(x)) med <- median(obj, na.rm = TRUE) med class(...

...enough to figure out how to get it to do what I want. A simplified example of what I am trying to do: The dataframes I have look like this (they were generated using the table command) species1.effort site1 site2 site3 date1 5 5 5 date2 4 5 5 date3 4 5 5 species2.effort site1 site2 site3 date1 7 8 6 date3 8 7 8 date4 8 8 8 I would like to join these into a table that looks something like this: Effort sp1.site1 sp1.site2 sp1.site3 sp2.site...

I would like to import only datas of my table where DATE>today-7days. But my datas in Oracle are 'dates' and in R are 'characters'. now_7<-format(Sys.time()-(7*60*60*24), "%Y-%m-%d 00:00:00") How to do? -- View this message in context: http://r.789695.n4.nabble.com/Compare-date-Oracle-with-Sys-time-tp4635624.html Sent from the R help mailing list archive at

i have a data frame with 2 columns of dates. with str(dataframe) i have ensured myself that they were indeed formatted as dates. one column has NA's in it. the aim is now to make a third column that chooses date1 if it is a date, and choose date2 if it is a NA. i am trying df$date3=ifelse(is.na(df$date1), df$date2, df$date1). this leads to unexpected behaviour: the resulting column is numeric, and shows numbers like 16000. i have no idea what this is and how to solve it? henk [[alternative HTML version deleted]]

...rror when the string does not represent an actual date. eg: > date1 <- "2009-02-29" # Note: 2009 not a leap year > as.Date(date1) Error in fromchar(x) : character string is not in a standard unambiguous format As I have many instances of date entries like this, date1, date2, date3, etc. , I'd like the script to error out gracefully and to be able to point the user to which date they need to correct, rather than "Error in fromchar(x)...", which doesn't make it obvious what they need to do to fix the error. Ideally I'd love to send the user a message lik...

...ot;) > data1=data.frame(id,date,ref) > data1 id date ref 1 034 1997-09-28 2 2 034 1997-10-06 2 3 016 1997-11-04 1 4 016 2000-09-27 1 5 016 2003-07-20 2 6 340 1997-11-08 1 7 340 1997-11-08 1 I would like to have it like this: > data2 id date1 date2 date3 ref1 ref2 ref3 1 034 1997-09-28 1997-10-06 NA 2 2 NA 2 016 1997-11-04 2000-09-27 2003-07-20 1 1 2 3 340 1997-11-08 1997-11-08 NA 1 1 NA All I tried the reshape package but ended up in multiple variables for each of the dates and that is not what I would lik...

Dear All; Is it possible to create a list of lists (I am sure it is) along these lines; I have a dataframe data02 that holds a lot of information, and the first column is ³date² I have a list of dates in; data03<-c(date1,.....,daten) And would like to create a list; data04 <- subset(data02, date == data03[1,]) Ie. data04 holds the data from data02 that matches a date in data03 How do

I have two data frames. One (arr) has all arrivals to an airport for a year, and the other (gw) has the dates and quarter hour of the day when the weather is good. arr has a Date and quarter hour column. >names(arr) [1] "Date" "weekday" "hour" "month" "minute" [6] "quarter" "ICAO"

...l.com> wrote: >>> >>> Hi everyone, >>> >>> I have a data frame, with the following format: >>> >>> MatDate-> >>> row.names ID1 ID2 ID3 >>> 1 date1 >>> 2 date1 >>> 3 date3 >>> etc >>> >>> but I cannot perform a rollapply() statement on the matrix without >>> converting the matrix into a time series. >>> i.e. MatTs<-ts(MatDate) >> >> Use the start and frequency arguments. See ?ts >> >>>...