similar to: Regression in strptime

Displaying 20 results from an estimated 3000 matches similar to: "Regression in strptime"

2016 Mar 12
2
Regression in strptime
On 3/12/16 12:33 AM, peter dalgaard wrote: >> On 12 Mar 2016, at 00:05 , Mick Jordan <mick.jordan at oracle.com> wrote: >> >> This is definitely obscure but we had a unit test that called .Internal(strptime, "1942/01/01", %Y/%m/%d") with timezone (TZ) set to CET. > Umm, that doesn't even parse. And fixing the typo, it doesn't run: > >>
2016 Mar 15
4
Regression in strptime
>>>>> peter dalgaard <pdalgd at gmail.com> >>>>> on Sat, 12 Mar 2016 19:11:40 +0100 writes: > OK, .Internal is not necessary to reproduce oddity in this area. I also see things like (notice 1980) >> strptime(paste0(sample(1900:1999,80,replace=TRUE),"/01/01"), "%Y/%m/%d", tz="CET") ............... >
2008 Nov 04
1
perform Kruskal-Wallis test without using the built-in command in R
Hi, again i am stuck in my presentation, and i have never learn R before in my life but need this to be done, so please help me out for a favour: http://www.nabble.com/file/p20333155/kew.dat kew.dat run this in R and these comes up: Month Year Rain 1 Jan 1900 74.400000 2 Feb 1900 80.500000 3 Mar 1900 23.600000 4 Apr 1900 23.600000 5 May 1900 25.100000 6
2013 Mar 12
5
extract values
Hello all! I have a problem to extract values greater that for example 1820. I try this code: x[x[,1]>1820,]->x1 Please help me! Thank you! The data structure is: structure(c(2.576, 1.728, 3.434, 2.187, 1.928, 1.886, 1.2425, 1.23, 1.075, 1.1785, 1.186, 1.165, 1.732, 1.517, 1.4095, 1.074, 1.618, 1.677, 1.845, 1.594, 1.6655, 1.1605, 1.425, 1.099, 1.007, 1.1795, 1.3855, 1.4065, 1.138, 1.514,
2013 Mar 13
2
merge datas
Hello all! I have a problem with R. I try to merge data like this: structure(c(2.1785, 1.868, 2.1855, 2.5175, 2.025, 2.435, 1.809, 1.628, 1.327, 1.3485, 1.4335, 2.052, 2.2465, 2.151, 1.7945, 1.79, 1.6055, 1.616, 1.633, 1.665, 2.002, 2.152, 1.736, 1.7985, 1.9155, 1.7135, 1.548, 1.568, 1.713, 2.079, 1.875, 2.12, 2.072, 1.906, 1.4645, 1.3025, 1.407, 1.5445, 1.437, 1.463, 1.5235, 1.609, 1.738, 1.478,
2013 Apr 07
2
group data in classes
Hello all! I have a problem to group my data (years) in 10 years classes. For example for year year decade 1598 1590-1600 1599 1590-1600 1600 1590-1600 1601 1600-1610 --- my is like this> [1] 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 [16] 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 [31] 1628 1629 1630 1631 1632 1633
2010 Jan 11
3
interpolation
Dear R-users, I have a complex line by xy-values (ordered by z). And I would like to get interpolated y-values on the positions of x = 0:600. How do I get the correct points? x=c(790,790,790,790,790,786,783,778,778,766,763,761,761,761,715,628,521,350,160,134,134,129,108,101,93,111,161,249,288,243,139,45,7)
2012 Jun 06
2
package zoo, function na.spline with option maxgap -> Error: attempt to apply non-function?
Hello, I'm trying to use na.spline (package zoo) to fill some missing data in a time series. this works fine, however, if I apply the 'maxgap' argument, I always get the error: <------ Error in na.spline.vec(x., coredata(object.), xout = xout., ...) : attempt to apply non-function ------> I couldn't find a similar error for this case in the mailing lists and zoo vignette,
2013 Mar 29
1
problem with data
Hello all! I have a problem with my data in R. When I want to plot the following data, I have a problem with y scale. The maximum value is cc. 10 degrees and in R is about 100. I use this code: fasy<-read.table("gridd1.txt",sep="\t",dec=",",header=T,row.names=1) # here are the years: x <- as.numeric(rownames(fasy)) # extract a series that you want to plot: y
2016 Jun 02
1
[PATCH -next 2/2] virtio_net: Read the advised MTU
Hi, [auto build test ERROR on next-20160602] url: https://github.com/0day-ci/linux/commits/Aaron-Conole/virtio-net-Advised-MTU-feature/20160603-000714 config: i386-allmodconfig (attached as .config) compiler: gcc-6 (Debian 6.1.1-1) 6.1.1 20160430 reproduce: # save the attached .config to linux build tree make ARCH=i386 Note: the
2016 Jun 02
1
[PATCH -next 2/2] virtio_net: Read the advised MTU
Hi, [auto build test ERROR on next-20160602] url: https://github.com/0day-ci/linux/commits/Aaron-Conole/virtio-net-Advised-MTU-feature/20160603-000714 config: i386-allmodconfig (attached as .config) compiler: gcc-6 (Debian 6.1.1-1) 6.1.1 20160430 reproduce: # save the attached .config to linux build tree make ARCH=i386 Note: the
2016 Mar 12
0
Regression in strptime
OK, .Internal is not necessary to reproduce oddity in this area. I also see things like (notice 1980) > strptime(paste0(sample(1900:1999,80,replace=TRUE),"/01/01"), "%Y/%m/%d", tz="CET") [1] "1942-01-01 CEST" "1902-01-01 CET" "1956-01-01 CET" "1972-01-01 CET" [5] "1962-01-01 CET" "1900-01-01 CET"
2005 Jul 06
3
plotting on a reverse log scale
I'd like to do some plots of historical event data on a reverse log scale, started, say at the year 2000 and going backwards in time, with tick marks spaced according to log(2000-year). For example, see: http://euclid.psych.yorku.ca/SCS/Gallery/images/log-timeline.gif As an example, I'd like to create a density plot of such data with the horizontal axis reverse-logged, a
2016 Jun 02
7
[PATCH -next 0/2] virtio-net: Advised MTU feature
The following series adds the ability for a hypervisor to set an MTU on the guest during feature negotiation phase. This is useful for VM orchestration when, for instance, tunneling is involved and the MTU of the various systems should be homogenous. The first patch adds the feature bit as described in the proposed VFIO spec addition found at
2016 Jun 02
7
[PATCH -next 0/2] virtio-net: Advised MTU feature
The following series adds the ability for a hypervisor to set an MTU on the guest during feature negotiation phase. This is useful for VM orchestration when, for instance, tunneling is involved and the MTU of the various systems should be homogenous. The first patch adds the feature bit as described in the proposed VFIO spec addition found at
2010 Feb 23
1
Problem with strptime generating missing values where none appear to exist
Dear R Helpers, I am having difficulty with strptime. I wish to find the differences between two vectors of times. I have apparently no difficulty to convert the vectors to the appropriate format using strptime. But, then difftime does not calculate all the differences. Here is the code and output:- dob=strptime(as.character(datx$BDT),'%d-%b-%y'); dob$year=dob$year-100
2010 Feb 23
0
subtracting 100 from strptime year vector generates missing values in POSIXct where none appear to exist in strptime year vector
Thanks Don MacQueen for this reply to my initial query - please SEE MY REPLIES TO THESE IDEAS AND FURTHER INFORMATION BELOW >From: Don MacQueen [macq at llnl.gov] >Sent: 23 February 2010 21:25 >To: Jonathan Williams; r-help at r-project.org > >Subject: Re: [R] Problem with strptime generating missing values where none appear to exist > >What happens if you do all that NA
2013 Apr 01
0
ggplot2 label problem
I have a problem to plot label (Year) only for significant values (in this case spoz and sneg). I use this code, but don't work with labels. library(ggplot2) ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+ geom_bar(stat="identity",position="identity")+ scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+ theme_bw() Thank you! the data used is:
2015 Sep 21
2
Problem with 90MB Initrd
On 18.09.2015 16:35, Gene Cumm wrote: > 1) This is actually a critical cusp size. Watch what tftpd you use or > you'll never get it all. The tftpd needs to support rollover. > Consider HTTP as it should be more capable and much faster. The used TFTPD works fine with BIOS machines. I have two Initrd images. One is 64bit and almost 90MB and the 32bit is 85MB. I know that some tftpd
2013 May 15
1
x and y lengths differ
I have a problem with R. I try to compute the confidence interval for my df. When I want to create the plot I have this problem: Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ. I try this code: library(dplR) df.rwi <- detrend(rwl = df, method = "Spline",nyrs=NULL) write.table(df.rwi,file="rwi.txt",quote=FALSE,row.names=TRUE)