similar to: Reshape

Can you sum a few columns at a time? I tried x =Calc.find(:all, :select => "sum(amt1) amt1, sum(amt2) amt2" :conditions => ["where date > ?", date] ) The sql seems to function properly, but I wasn''t able to grab the values. These just failed x.amt1 x.send("amt1") I tried changing up the query to use sum(amt1) as amt1 sum(amt1)

Hi LLVM-Devs, I have managed to complete updating our sources from LLVM v4.0 to v5.0, but I am getting selection errors for 'callseq_end'. I am aware that the 'ADJCALLSTACKUP' and 'ADJCALLSTACKDOWN' patterns have changed, and have added an additional argument to the TD descriptions for these. There are interactions with 'ISD::CALL' and 'ISD::RET_FLAG',

Hi Martin, Pseudo CALLSEQ_START was changed in r302527, commit message contains details on the changes. However CALLSEQ_END was not modified. If your made changes to ADJCALLSTACKUP to add additional argument, that may result in error. Thanks, --Serge 2017-09-15 19:09 GMT+07:00 Martin J. O'Riordan via llvm-dev < llvm-dev at lists.llvm.org>: > Hi LLVM-Devs, > > I have managed

Hi Serge, Thanks for your help. I have looked at the change log, and so far as I can tell, my implementation is pretty much identical to all of the in-tree targets, but I’m missing something and can’t see what it is. I have simplified my TD description to just: def MyCallseqStart : SDNode<"ISD::CALLSEQ_START", SDCallSeqStart<[SDTCisVT<0, i32>,

On Mon, Nov 30, 2009 at 7:22 PM, Javier Martinez <javier at jmartinez.org> wrote: > Hello, > > I'm working in adding support for 64-bit integers to my target. I'm using > LLVM to decompose the 64-bit integer operations by using 32-bit registers > wherever possible and emulating support where not. When looking at the bit > shift decomposition I saw what seems to be a

List, I want to reshape my data, but I'm not sure how to do it... it might be a simple task, but don't know which package does this. "occ.data" (see below) is how my original data are arranged, and I know that with melt() I can reshape it like "y" (see below). However, I just want to build a matrix like the "y" matrix, but with only 2 dimensions. Something

Hello, I'm working in adding support for 64-bit integers to my target. I'm using LLVM to decompose the 64-bit integer operations by using 32-bit registers wherever possible and emulating support where not. When looking at the bit shift decomposition I saw what seems to be a bug in the implementation. The affected function is ExpandShiftWithUnknownAmountBit in LegalizeIntegerTypes.cpp.

Hello * I would like to reshape wide the following dataset: > rl <- read.dta("intermedi/rapporti_lavoro.dta") [c("id_rl","prog","sil_pi","sil_cf","sil_dat_avv")] > dim(rl) [1] 12964 5 > object.size(rl) 1194728 bytes > head(rl) id_rl prog sil_pi sil_cf sil_dat_avv 1 638 1 04567XXXXXX

Dear colleagues, I'd like to reshape a datafame in a long format to a wide format, but I do not quite get what I want. Here is an example of the data I've have (dat): sp <- c("a", "a", "a", "a", "b", "b", "b", "c", "d", "d", "d", "d") tr <- c("A",

I have two waves of a survey given to students at various middle schools and high schools, with student id numbers for each student. I am having difficulty reshaping the file from long to wide. My code is below: library(foreign) svy <- read.spss("studsur4.SAV") svy.wide <- reshape(svy, timevar="WAVE", idvar="id", direction="wide")

Dear all! I have a data frame composed by 13 columns (year, and 12 months). I want to transform this data base in another like this year month values 1901 1 1901 2 1901 3 ..... 1901 12 1902 1 1902 2 .... 1902 12 Is there a possibility to succeed that in R? Thank you! best regards! CR -- --- Catalin-Constantin ROIBU Lecturer PhD, Forestry engineer Forestry Faculty of Suceava Str.

Full_Name: Kevin Wright Version: 1.4 OS: Windows 95 Submission from: (NULL) (170.54.59.160) Note: This was the 1.4 build for Windows that Brian Ripley made available. The first example in the help for reshape doesn't work for me. When I cut and paste, this is what happens: > data(Indometh,package="nls") > summary(Indometh) Subject time conc

Hi all: I solved the previous stated problem in something of a brute force way (but it works). I seem to now be running into one little hiccup using reshape. Here is a quick snip of the data in long format: grade stability year schid 6 Grade 4 3 2001 100005 7 Grade 4 3 2002 100005 8 Grade 4 2 2003 100005 10 Grade 5 2 2001 100005 11 Grade 5

I need to do a somewhat complex rearrangement of an existing dataframe that involves an "on-the-fly" conditional summary as well. I've tried to make the example as simple as possible. Code to produce the object being acted on is at the end of the message. I hope this isn't too much for a single posting. Any guidance will be much appreciated. The input example looks like

Full_Name: Alexander L. Belikoff Version: 2.8.1 OS: Ubuntu 9.04 (x86_64) Submission from: (NULL) (67.244.71.200) I'm trying to reshape the following data frame: ID DATE1 DATE2 VALUE_TYPE VALUE 'abcd1233' 2009-11-12 2009-12-23 'TYPE1' 123.45 ... VALUE_TYPE is a string and is a factor with only 2 values

I have a dataframe that I'm trying to reshape, and need advice. My data: > klam.merge[200:225,] stream lulc x sumlength pct.lgth 200 1223030419685 92 0.25000000 9.89 2.52780586 201 1223030419686 23 0.00274154 4.73 0.05796068 202 1223030419686 41 0.75009917 4.73 15.85833341 203 1223030419686 42 2.65000000 4.73 56.02536998 204

I wonder if the 'sep' argument in reshape() is being ignored unintentionally: ## From example(reshape) df <- data.frame(id=rep(1:4,rep(2,4)), visit=I(rep(c("Before","After"),4)), x=rnorm(4), y=runif(4)) reshape(df, timevar="visit", idvar="id", direction="wide", sep = "_") id x.Before

I have a dataset in "long" format that looks something like this: ID TEST RESULT 1 A 17 1 A 12 1 B 15 1 C 12 2 B 8 2 B 9 Now what I would like to do is transpose it like so: ID TEST A TEST B TEST C 1 17 15 12 1 12 . . 2

When reshaping a dataframe in which there are unused factor levels in the id variable, I get the following error: Error in if (!all(really.constant)) warning(gettextf("some constant variables (%s) are really varying", : missing value where TRUE/FALSE needed For example, > df <- data.frame(i = factor(rep(1:5, each = 2)), t = factor(rep(1:2, 5)), x = rep(rbinom(5, 1,

I would really appreciate it if anyone could determine what is going on with the following command. It is only half-working and is losing lots of data. For the life of me I cannot even see the pattern of what it is losing and what it is not. I am attaching the R data set which you can use with the Load Workspace menu function.