similar to: strptime command in R

Hi I'm observing a huge difference in the performance speed of R on Windows and Unix, even though I know that my Unix machine is much more powerful than my Win machine. In particular, any character processing task is very time consuming on Unix. strptime(x,"%H:%M:%S") is about 10 times slower on Unix for vector x of the length of ~ 500. read.table() also is very slow. is there

Dear All: I'd like to know how to sort and then index a vector of floats by several levels in R. For example >x<-rnorm(100) > MyLevels<-quantile(x,probs=c(0,.5,1)) > MyLevels 0% 50% 100% -2.11978442 -0.03770613 2.00186397 next i want to replace each x[i] in x by 1,2,3 or 4 depending on which quantile that x[i] falls. How do I do that in a

Dear R-gurus: How do I overlay 2 plots in the same frame in R? Or, if I have a histogram, and I want to plot a function in the same frame - how do I do it? Thank you very much, Vlad -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Hi This code should explain what I'm trying to do > strptime("30-Jan-08", "%d-%b-%y") [1] "2008-01-30" > > format(strptime("30-Jan-08", "%d-%b-%y") , "%b-%y") [1] "Jan-08" > > strptime(format(strptime("30-Jan-08", "%d-%b-%y") , "%b-%y") , "%b-%y") [1] NA I have a

Hi All In trying to correlate some tide gauge data I need to deal with varying timezones. From the documentation on strptime, it seemed that the tz variable might have some effect on the conversion, but I'm not seeing an effect. > strptime("20061201 1:02 PST",format="%Y%m%d %H:%M",tz="PST")+0 [1] "2006-12-01 01:02:00 EST" >

Hi R Devel, I just ran into a corner case with 'strptime'. Recall that the "%OS" conversion accepts fractional seconds: > strptime("17_35_14.01234.mp3","%H_%M_%OS.mp3")$sec [1] 14.01234 Unfortunately for my application it seems to be "greedy", in that it tries to parse a decimal point which might belong to the rest of the format: >

Hi, I am having a trouble parsing dates using strptime() that I get in the format of year and week number. The data looks like this "201127" which means year 2011 and week 27. I would like to graph this using ggplot but then I get a gap between 201054 and 201101 so I thought I would just easily convert it. I tried to use strptime and as.Date and the format string of %Y%W but it seems

On Tue, Jan 10, 2017 at 08:13:21PM -0600, Dirk Eddelbuettel wrote: > > On 10 January 2017 at 17:48, frederik at ofb.net wrote: > | Hi R Devel, > | > | I just ran into a corner case with 'strptime'. Recall that the "%OS" > | conversion accepts fractional seconds: > | > | > strptime("17_35_14.01234.mp3","%H_%M_%OS.mp3")$sec > |

Converting date strings that range between Mar-14-2010 2:00 and Mar-14-2010 2:59 (inclusive) to date objects (POSIX) returns a NA entity: > strptime("3/14/2010 2:00",format="%m/%d/%Y %H:%M") [1] "2010-03-14 02:00:00" This looks fine, however other functions such as plot see a NA object instead: > is.na(strptime("3/14/2010

Full_Name: Bill Hutchison Version: 2.2.1 OS: Windows XP Submission from: (NULL) (69.158.121.13) example(strptime) produces the following error: Error in strptime(x, "%d%b%Y") : 2 arguments passed to 'strptime' which requires 3 This error occurs wherever strptime is used. It does not occur in 2.2.0

Hi everyone, I have bunch of date and time observations in the format %Y-%m-%d %I %M %S %p. I used strptime() to read this format. But the problem is some of the times are in the format of %I %M %p, so for those times, strptime is giving me NA values. For example, strptime(paste("2009-04-08","1:49:47 PM"),format="%Y-%m-%d %I:%M:%S %p") [1] "2009-04-08

I'm sure this is just the result of a basic misunderstanding of the syntax of R, but I am stumped. A <- read.table(file="sumByThirtyMinute.csv",sep=",",col.names=c("date","pandl")) A now consists of thousands of rows, but A$date is a string... ... 3183 2006-02-28 12:00:00 548.470 3184 2006-02-28 12:30:00 515.240 3185 2006-02-28 13:00:00

R V2.0.1 on Windows XP. I have read the help pages on strptime() over and over, but can't understand why strptime() is producing the following results. > v <- format("2002-11-31", format="%Y-%m-%d") > v [1] "2002-11-31" > factor(v, levels=v) [1] 2002-11-31 Levels: 2002-11-31 > x <- strptime("2002-11-31",

Hi, I have a column in a dataframe in the form of: > as.vector(SLDATX[1:20]) [1] "1/6/1986" "1/17/1986" "2/2/1986" "2/4/1986" "2/4/1986" [6] "2/21/1986" "3/6/1986" "3/25/1986" "4/6/1986" "4/10/1986" [11] "4/23/1986" "4/30/1986" "5/8/1986"

I'm trying to proess date/time fields from files that were given to me to analyze. Any clues what I'm doing wrong with strptime? This seems to fail the same way under Linux or Windows. For ?strptime would it make sense to explain %OS3 somewhere besides the Examples? > # Why does %OS3 work here? > format(Sys.time(), "%H:%M:%S") [1] "16:45:19" >

The example from the help page for strptime has the following oddity: > dates <- c("02/27/92", "02/27/92", "01/14/92", + "02/28/92", "02/01/92") > times <- c("23:03:20", "22:29:56", "01:03:30", + "18:21:03", "16:56:26") > x <-

On Thu, 11 Jan 2001 stephen@anc.ed.ac.uk wrote: > Hi, > > The help file for strptime has the following code which doesn't work > for me: > > ## read in date info in format `ddmmmyyyy' > x <- c("1jan1960", "2jan1960", "31mar1960", "30jul1960") > z <- strptime(x, "%d%b%Y") > > z > [1]

Hello, strptime is still not working correctly in my computer (Windows 98 and R Version 1.3.1) From x <- c("1jan1960", "2jan1960", "31mar1960", "30jul1960") strptime(x, "%d%b%Y") I obtain [1] "NA" "NA" "NA" "NA" while x <- c("01011960", "02011960", "3131960",

Hello I am trying to read a date and time from a file and convert them to POSIXct using strptime() the dates are stored in t which is a factor This the code I am using to illustarte > t[1] [1] 07/14/2009 13:41:00 10 Levels: 07/14/2009 13:41:00 07/14/2009 13:42:00 ... 07/15/2009 07:12:00 > a=t[1] > a [1] 07/14/2009 13:41:00 10 Levels: 07/14/2009 13:41:00 07/14/2009 13:42:00 ...

I read a dataset with times in them, e.g., "09:31:29.18761". I then parse them: > all$X.Time <- strptime(all$X.Time, format = "%H:%M:%OS6"); and get a vector of NAs (how do I check that except for a visual inspection?) then I do > options("digits.secs"=6); > all$X.Time <- strptime(all$X.Time, format = "%H:%M:%OS"); and it, apparently, works: