similar to: Formatting print with awk and ORS

Hi, I'd like to propose extending the supported syntax for AssemblerPredicates to allow sets of SubtargetFeatures to be listed, but where only one in the list has to be enabled for the predicate to be true. The condition string which forms a AssemblerPredicate already allows multiple features to be defined, separated by commas, and this means all of these features must be present. For

Trying to avoid a perl script which wouldn't be hard, but I am looking for an awk one liner that does a replacement, but only after it sees a key word on some line. Anyone know of that's easy to do? Thanks! jlc

Dear all, I wrote a wrapper to a FORTRAN program using R. The main program uses a text file (~200 lines) as an input describing the simulation to be run. I typically generate the file once with the right parameters using a combination of file(), paste(), cat(). This is fine, and it works well, however I then need to update only a few values in the file many times (~200 times,

HI, I'm having trouble with a piece of Rscript which keeps outputting incorrectly. it's something like this: the code reads in from a file which contains (reformated) input >file<-read.table(file="input_file.txt",sep="\t")[,c(1,3:5)] > >file.rows<- c(nrow(file)/288) # "input_file.txt" contains 288 reformatted lines for each original data file

--- builder/index-parse.y | 6 ++++-- builder/index-parser-c.c | 3 ++- builder/index-struct.h | 1 + builder/ini_reader.ml | 6 +++--- builder/ini_reader.mli | 2 +- 5 files changed, 11 insertions(+), 7 deletions(-) diff --git a/builder/index-parse.y b/builder/index-parse.y index 310870d..7ddef53 100644 --- a/builder/index-parse.y +++ b/builder/index-parse.y @@ -150,12 +150,14 @@

Greetings I have been trying to use metaplot to create a forest plot of my meta-analysis results. My data is in the form of ORs, so I've been inputting the ORs as the point estimate (mn) and the SEs of the logORs as the SE (se). However, whilst the point estimates appear to be displayed properly, many of the confidence intervals go below zero (not possible for an OR, as far as I know). I

I''ve got an order model that stores order data. One piece of data is a credit card type, which is a digit 1,2 or 3. I have a cardType model that has an id, shortName and LongName for the credit card merchant (visa, mastercard, amex). I want to be able to say: order.cardType.shortName, but can''t seem to get has_one working. It works with has_many and a finder_sql statement on

Eric "ManxPower" Wieling wrote: >> >>> span=1,1,0,d4,ami >>> e&m=1-24 >>> > > Looks like you have told Asterisk to get it's timing from the Mitel. > I'll bet the Mitel is trying to get it's timing from Asterisk. > > Try span=1,0,0,d4,ami and run ztcfg -vvv > I just set this back. It was originally set to your

I wrote an R wrapper function (phylpro) around a C function (Rphylpro). The first time I'm running my function, it runs with no errors. The second time I'm trying to run it, I get an error message with the first argument to .Call garbled. Set up: > dyn.load("Phylpro.so") > source("phylpro.R") > WinHalfWidth<-30 > permReps<-10 > breaks<-c(548,

I have not found an easy way to compress a file on filesystem. Especially I'd like to compress a pdf from pdf() function/device. Is it possible to compress It on the flight? I'd like to do something like: pdf(gzipconnection()) dev.off() If It is not possible, how can I create a gzip with the pdf? Thanks Daniele A. ________________________________ ORS Srl Via Agostino Morando 1/3

Hi R help list I'm simulating logistic regression data with a specified odds ratio (beta) and have a problem/unexpected behaviour that occurs. The datasets includes a lognormal exposure and diseased and healthy subjects. Here is my loop: ors <- vector() for(i in 1:200){ # First, I create a vector with a lognormally distributed exposure: n <- 10000 # number of study subjects

I need to implement a solution and not having ever used anything but MS Project I would be grateful for a reco on something good. The only hope would be that its web based but I am open to anything! Thanks! jlc

Trying to rsync a rather large file from a windows server to a centos server and all but this is working fine. As it's a 20 gig file I am trying to send the diff of with a -c, I suspect over the low bandwidth this presents an issue. I also stage this file locally on another centos server and could calc the diff and create a patch and send that, comparing checksums etc... A quick look at

Hi, does anyone know of a function to calculate odds ratios in multiway tables (stratified) (+ the other usual statistics involved) i mean: say we have a table r*c*d, For every d (depth) we have a r*c table, and in this table the odds ratio's are calculated for every 2*2 subtable in it. logically this function would look like): ORs(multiwaytable) or ORs(data$var1r,data$var2c,data$var3d)

I have data for different items (ID) in a database. For each ID I have to get: - Timestamp of the observation (timestamp); - numerical value (val) that will be my response variable in some kind of model; - a variable number of variables in a know set (if value for a specific variable is not present in DB it is 0). To get to the above mentioned values I have to cycle

Hey guys, Looking through my book and the web and I am not having any success returning data from a search. I need to have awk search for a string and print the first field which is no problem but now its returning two options as the input data has changed. The change is reliable, I only want the first field if it ends in a regex that I have, and I only want what that regex matches to be printed.

I need to increase reliability at an office as SIP/Internet provider outages are causing some issues. What would be the least expensive analogue card that people are using reliably? Thanks! jlc

I'm wondering how to save an object (models like lm, loess, etc) in a DB to retrieve and use it afterwards, an example: wind_ms <- abs(rnorm(24*30)*4+8) air_kgm3 <- rnorm(24*30, 0.1)*0.1 + 1.1 wind_dg <- rnorm(24*30) * 360/7 ms <- c(0:25) kw_mm92 <- c(0,0,0,20,94,205,391,645,979,1375,1795,2000,2040) kw_mm92 <- c(kw_mm92, rep(2050, length(ms)-length(kw_mm92))) modelspline

How does one access the properties associated with the blanking CentOS does at init3? How would I disable this for example? Thanks! jlc

What's the simplest way to increment the number 0000 up by one until some other 4 digit number while preserving leading zero's until the 1000's has a digit other than 0? Thanks! jlc