similar to: Calculating seasonal anomalies

Hi having trouble saving dates in my form i have the following in the view <%= date_select("details", "open_date") %> and i have @exhibition.open_date = params[:details][:open_date] and then @exhibition.save All the other values form (not seen here) get saved but not the dates. What am i doing wrong ? -- Posted via http://www.ruby-forum.com/.

Hi, I seem to be having a problem adding the following two raster objects together - one is a rasterLayer, the other is a rasterBrick. The extent, resolution, and origin are the same, so according to my understand it should work. The objects look like so: > obs.clim class : RasterLayer dimensions : 60, 200, 12000 (nrow, ncol, ncell) resolution : 0.5, 0.5 (x, y) extent : -70,

Thanks for the answer Eli. I think I was a little too vague in my question. The program has the following structure: void foo() { bar(); } void bar() { for (..) { __builtin_compute() } } We would like to use scalar evolution + loopinfowrapperpass inside instcombine only if __builtin_compute is present. instcombine can convert the loop into a single builtin ie. void bar() {

On 4/19/2018 1:57 PM, Anom LLVM via llvm-dev wrote: > Hi, > > I have pass phase ordering question. > > I am interested in performing a transformation that matches several > LLVM IR instructions and converts them to a single builtin. This sort > of transformation must occur prior to inlining because inlining needs > to analyze cost of the builtin. However, the LLVM IR

I probably wouldn't worry about the cost of LoopInfo; it's relatively cheap to compute.  But if you're really concerned, you can run your pass after a pass which preserves LoopInfo (so it's free because it was already computed).  Or you can stick your code into an existing pass which requires LoopInfo anyway, like LoopIdiomRecognize. -Eli On 4/23/2018 3:37 PM, Anom LLVM

Hi, I have pass phase ordering question. I am interested in performing a transformation that matches several LLVM IR instructions and converts them to a single builtin. This sort of transformation must occur prior to inlining because inlining needs to analyze cost of the builtin. However, the LLVM IR -> builtin transformation requires scalar evolution which typically doesn't run until

Hello, I have a data with following format:      Predictors          n11     n12     n21     n22     Odds.Ratio    log.ratio    se.log.odds. 1 ProcOR respirato     2 ProcVaric vein      3 DiagCardiac anom   4 DiagAllergy        5  DiagOth skin dx    6    DiagGastritis          I want to plot odds ratio by command: forestplot in rmeta library, but I get the following error constantly.  Error in

Sorry for re-posting the question, I did not get any reply. Kindly reply please if any one can. ### Hello R users, I have a montly time series over a several year period. It's easy to compute a monthly climatology (12 values), Now, I would like to calculate the corresponding standard deviation, ie the 12 values calculated from the january values, february values, etc. What's the best way

Hello R users, I have a montly time series over a several year period. It's easy to compute a monthly climatology (12 values), Now, I would like to calculate the corresponding standard deviation, ie the 12 values calculated from the january values, february values, etc. What's the best way for such a calculation ? Regards, Yogesh -- Yogesh K. Tiwari (Dr.rer.nat), Scientist, Indian

On Thu, 24 May 2018 at 18:41 Mark R Payne <markpayneatwork at gmail.com> wrote: Hi, I seem to be having a problem adding the following two raster objects together - one is a rasterLayer, the other is a rasterBrick. The extent, resolution, and origin are the same, so according to my understand it should work. The objects look like so: > obs.clim class : RasterLayer dimensions : 60, 200,

This is now fixed in development on RForge, you can try it out by installing from there, or from the Github mirror with devtools::install_github("rforge/raster/pkg/raster"). (To get fixes into raster email the maintainer directly - you might not get a response but it'll be addressed). Cheers, Mike. On Thu, 24 May 2018 at 20:08 Michael Sumner <mdsumner at gmail.com> wrote:

Dear List, I am struggling with the trellis graphic. A similar problem was mentioned here: http://r.789695.n4.nabble.com/R-How-can-you-get-N-replicates-of-a-multi-screen-multivariate-time-series-plot-td811850.html I do have 2 time series data sets. The 2 time series differ in some orders of magnitude. I managed to plot them into 1 graph, but, since the data is that different, on of the data

Dear R-helpers, I have 4-dimensional atmospheric data (x,y,z,t), which I want to analyse on spatio-temporal diversities. As far as I understand there only exists the possibility to construct time series as two-dimensional matrices (mts). For the moment, I hold it in different objects: 1. a four-dimensional array for the spatial related analyses 2. a two-dimensional mts timeserie, which was

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):

Dear sir,    How to do bilinear time series in R?Is there any functions or packages?  thank you! -----Sincerely yours Kuangnan Fang 方匡南 敬上 department of statistics ,Economics school,Xia men University. Fujian Province (361005) China Mobile Phone：15860721915 SKYPE: ruiqwy MSN Messenger: ruiqwy@hotmail.com QQ:39863401 --- 09年3月31日，周二, r-help-request@r-project.org

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++