similar to: function design

Displaying 20 results from an estimated 6000 matches similar to: "function design"

2002 Mar 18
1
line breaks
I have a question about the function of line feeds/carriage returns in an all linux (R, vi to write scripts) environment. In my scripts I have a few functions, using { or ( to wrap commands on the next line. Usually this is fine, but sometimes R appears confused by line wrappings (more likely of course it is me who is confused). I tried ';' to explictly break the line, but no dice. An
2002 Apr 09
1
write.table
Hello, When using write.table I am getting two variables pasted together (not by choice). Has anyone else had this happen? Specifically, I have the following: d _ read.dta(paste('/montecarlo/forecast/off/',F,'.dta',sep='')) write.table(d,file=paste('/montecarlo/forecast/off/csv/',F,'.csv',sep=''), row.names=FALSE, col.names=FALSE,
2002 May 16
1
foreign library - negative integers??
I am having a problem with the foreign library correctly reading some integer data. Specifically, d _ read.dta('aptaa.dta') > d[1:5,] scenario metcode yr ginv cons gocc abs dvac gmre gmer 1 1 AA 2002 0.007 1377 -0.071 51710 0.071 -0.011 -0.127 2 1 AA 2003 0.000 0 -0.016 62568 0.014 -0.043 -0.538 3 1 AA 2004 0.000 0 -0.002
2019 Jul 23
2
[RFC] A new multidimensional array indexing intrinsic
After having spoken to Johannes, I think we had a classic misunderstanding on what "extending" means. 1. The most obvious why for me was changing GEP to allow variable-sized multi-dimensional arrays in the first argument, such as %1 = getelementptr double, double* %ptr, inrange i64 %i, inrange i64 %j (normally GEP would only allow a single index argument for a pointer-typed base
2010 Feb 15
1
[PATCH] drm/nouveau: fix pramdac_table range checking
On Mon, Feb 15, 2010 at 03:40:56PM +0300, Dan Carpenter wrote: > This is the results from: > make C=1 CHECK="/path/to/smatch -p=kernel" bzImage modules | tee warns.txt > grep -w overflow warns.txt | uniq -f 3 | tee err-list > > I hacked on the buffer overflow check last weekend and these are the > results. It has way more false positives than the other bug
2002 Apr 10
0
foreign/write.table
Hello, When using write.table I am getting two variables pasted together (not by choice). Has anyone else had this happen? Specifically, I have the following on a RH7.2/R1.4 box: d _ read.dta(paste('/montecarlo/forecast/off/',F,'.dta',sep='')) write.table(d,file=paste('/montecarlo/forecast/off/csv/',F,'.csv',sep=''), row.names=FALSE,
2009 Aug 18
8
src/ is now warning-free, too
These patches first make src/ warning free, and then turn on the strict warning options. 75 0001-build-suppress-an-ignored-write-return-value-warning.patch 38 0002-build-suppress-an-ignored-dup-return-value-warning.patch 27 0003-generator.ml-suppress-signed-unsigned-compare-warnin.patch 48 0004-build-don-t-perform-arithmetic-on-void-pointers.patch 30
2011 Jul 11
3
fitdistr() Error
I am trying to estimate a gamma function using real data and I am getting the following error messages. When I set a lower limit; the error message is "L-BFGS-B needs finite values of fn" ? For other method the error message is: Error in optim(x = c(0.105286666666667, 0.3472275, 2.057625, 0.329675,? : ? non-finite finite-difference value [1] The codes works fine for simulated data
2006 Mar 16
4
excluding factor levels with read.table() and colClasses=
Hi, I am reading a "|" delimited text file into R using read.table(). I am using colClasses= to specify some variables as factors. Some of these variables include missing values coded as "NA". Unfortunately the R code I am using (pasted bellow) includes "NA" as one of the factor levels. Is it possible to remove the "NA" level from a factor with in
2019 Jul 09
2
[LLVM] Infinite loop during LLVM InstructionCombining pass optimization
If you're able to reproduce the infinite loop with -O3 then you should be able to dump out the IR that causes `opt -instcombine` to infloop, unless the bug is truly esoteric (e.g. only caused by a specific use-list ordering). Maybe take a closer look at the output from `opt -print-before-all -O3`? Alternatively you can use bugpoint to minimize the IR to get a small reproducer that causes
2019 Jul 22
3
[RFC] A new multidimensional array indexing intrinsic
Am Mo., 22. Juli 2019 um 10:50 Uhr schrieb Doerfert, Johannes <jdoerfert at anl.gov>: > Why introduce a new intrinsic (family)? It seems that would require us > to support GEPs and GEP + "multi-dim" semantics in various places. What is > the benefit over a GEP extension? Adding an intrinsic is easier than adding or extending an existing instruction, as suggested by
2007 Jan 24
3
System hangs at "Rebooting System" on VIA KM400 chipsets
Hello, We have a number of systems running KM400 chipsets from VIA (Socket A/462). Two different models have produced the same results -- DFI KM400-MLV and MSI KM4M-V. When a /sbin/reboot or /sbin/shutdown -r now is issued, the system does everything you would expect from a reboot, but when it gets to Rebooting System, it hangs and requires a power cycle. The logs do not indicate anything
2019 May 24
2
Delinearization validity checks in DependenceAnalysis
[CC bollu, mferguson, shil] Am Do., 23. Mai 2019 um 17:13 Uhr schrieb Bardia Mahjour < bmahjour at ca.ibm.com>: > Thanks David and Michael for the clarification. > > I think I understand the rational behind those checks in delinearization > now. > > > Some other languages have stronger guarantees about their array > dimensions accesses being in range. But this being
2020 Jul 15
3
How to get information about data dependencies?
Stefanos Baziotis via llvm-dev <llvm-dev at lists.llvm.org> writes: > Well... I tried that and it doesn't seem to be very useful > unfortunately. The C/C++ way that arrays are defined is probably why > DA is not that useful. Namely that a row can alias with another row in > 2D arrays. The theory behind DA is quite powerful if we knew that they > don't alias. Right
2008 Feb 21
3
applying a function to data frame columns
useR's, I want to apply this function to the columns of a data frame: u[u >= range(v)[1] & u <= range(v)[2]] where u is the n column data frame under consideration and v is a data frame of values with the same number of columns as u. For example, v1 <- c(1,2,3) v2 <- c(3,4,5) v3 <- c(2,3,4) v <- as.data.frame(cbind(v1,v2,v3)) uk1 <- seq(min(v1) - .5, max(v1) + .5,
2002 Jun 27
3
plot(..., type="h") w/ origin not at y=0
Is it a way to make plots with vertical lines, like plot(x, y, type="h"), but starting from a different value than y=0. For example, with x=1:3, y=-(1:3), y.orig=-3 : -1 | | y -2 | | | | -3 | | | 1 2 3 x Thanks -- Cyril Humbert -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list --
2006 Jan 12
2
Build Error - ZT_EVENT_DTMFDIGIT
Hi, I've seen a few posts about this but no fix. Anyone able to help? Here's what I did: I configured a brand new machine with Redhat 9.0. I made sure that I had: bison cvs gcc kernel-source libtermcap-devel ncurses-devel newt-devel openssl1096b openssl-devel readline41 readline-devel zlib zlib-devel When I went to get Asterisk I did the following: cvs checkout zaptel libpri and
2007 May 03
2
Package contrast error
Trying to use contrast to look at differences within an lme lme.fnl.REML <- lme(Max ~ S + Tr + Yr + Tr:Yr, random = ~1 |TID, method = "REML") I have three levels of Tr I'm trying to contrast among different years (R, T97, T98), years = 1997-1999, so I'm interested in contrasts of the interaction term. > anova(lme.fnl.REML) numDF denDF F-value
2007 Apr 30
2
Independent contrasts from lme with interactions
Hi All, I've been searching the help archives but haven't found a workable solution to this problem. I'm running an lme model with the following call: >lme.fnl <- lme(Max ~ S + Tr + Yr + Tr:Yr, random = ~1 |TID) > anova(lme.fnl) numDF denDF F-value p-value (Intercept) 1 168 19255.389 <.0001 S 1 168 5.912 0.0161 Tr
2009 Apr 13
2
weighted mean and by() with two index
Hi expeRts, I would like to calculate weighted mean by two factors. My code is as follows: R> tmp <- by(re$meta.sales.lkm[, c("pc", "sales")], re$meta.sales.lkm[, c("size", "yr")], function(x) weighted.mean(x[,1], x[,2])) The result is as follows: R> tmp size: micro yr: 1994 [1] 1.090