Thanks A.K. and Jim!
Thanks very much, both solution works fine! But I can´t figure out what was
the problem with my code. Make step-by-step is not recommended? Is just
that difference?
Thanks again for help!
Raoni
2013/10/15 arun
> Try:
> op <- options(digits.secs=4)
>
> TimeCC <- as.POS
FYI.
The fractional part is printed as '3204' instead of '3205' since with
POSIXct you only have accuracy to the millisecond for times around
now.
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
On Tue, Oct
Try this; your time is converted back to a character string if you
want to show the fractional part.
> x <- read.table(text = "Date Time Fraction
+ 06/19/13 22:15:39 0.3205
+ 06/19/13 22:15:44 0.3205
+ 06/19/13 22:15:49 0.3205
+ 06/19/13 22:15:54 0.3205
+ 06/19/13 22:15:59 0
Try:
op <- options(digits.secs=4)
TimeCC <- as.POSIXct(paste0(paste(teste[,1],teste[,2]),
sub("^0","",teste[,3])),format="%m/%d/%y %H:%M:%OS")
options(op) #reset
A.K.
On Tuesday, October 15, 2013 10:29 AM, Raoni Rodrigues
wrote:
Hello all,
I'm having a problem with data handling. My inpu
Hello all,
I'm having a problem with data handling. My input data is (dput in the
after the signature):
Date Time Fraction
06/19/13 22:15:39 0.3205
06/19/13 22:15:44 0.3205
06/19/13 22:15:49 0.3205
06/19/13 22:15:54 0.3205
06/19/13 22:15:59 0.3205
06/19/13 22:16:09 0.320
Ben:
On Thu, Mar 29, 2012 at 5:41 AM, Ben Bolker wrote:
> me.com> writes:
>
>
>> I am trying to fit a generalised linear model to some loan
>> application and default data. The purpose of this is to eventually
>> work out the probability an applicant will default.
>
>> However, R seems to crash
me.com> writes:
> I am trying to fit a generalised linear model to some loan
> application and default data. The purpose of this is to eventually
> work out the probability an applicant will default.
> However, R seems to crash or die when I run "glm" on anything
> greater than a 5-way satur
Hi there,
I am trying to fit a generalised linear model to some loan application and
default data. The purpose of this is to eventually work out the probability an
applicant will default.
However, R seems to crash or die when I run "glm" on anything greater than a
5-way saturated model for my
Hi,
I have managed to convert my data frames into xts such as :
> str(z)
An âxtsâ object from 1983-01-03 19:00:00 to 2006-01-01 22:00:00 containing:
Data: num [1:182959, 1:2] 12.6 11.3 12.7 12.8 10.9 ...
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:2] "v" "DD"
Indexed by
Please try:
data <- xts(data[,2:n], order.by=as.POSIXct(strptime(data[,1],
"%d/%m/%Y")))
Use similar strptime for hours also.n=number of columns.
Good Luck
Raghu
On Fri, Jul 30, 2010 at 2:02 PM, Lily_stats [via R] <
ml-node+2307936-1777222343-309...@n4.nabble.com
> wrote:
> Hi,
>
> I am tryin
Convert your datasets into xts objects and then do a cbind ordering by the
column you want. Do a ?cbind.
HTH
Raghu
On Fri, Jul 30, 2010 at 10:33 AM, Lily_stats [via R] <
ml-node+2307770-1033893256-309...@n4.nabble.com
> wrote:
> Hi,
>
> I am very new to R so these questions may seem simple!
>
>
Hi,
I am very new to R so these questions may seem simple!
I have a huge 2 sets of data(matrix 5x2++) in the following formats ,
for example "data.txt" and "data2.txt":
Date Time X Y
03/03/1983 20:00 0.1 990
I would like to recre
On Fri, Jul 30, 2010 at 9:02 AM, Lily_stats wrote:
>
> Hi,
>
> I am trying to convert my dataset into xts. I have tried the following :
>
> data1<-read.table("data1.txt",header=F)
> data2<-read.table("data2.txt",header=F)
>
> data1.xts
> However, I get an error :
>
> Error in as.POSIXlt.character(
Hi,
I am trying to convert my dataset into xts. I have tried the following :
data1<-read.table("data1.txt",header=F)
data2<-read.table("data2.txt",header=F)
data1.xtshttp://r.789695.n4.nabble.com/Data-Handling-tp2307770p2307936.html
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