similar to: listing the files in a directory using regular expressions

Hello all, I have a .csv file like below. Tool,Step_Number,Data1,Data2... etc up to 100 columns. A,1,0,1 A,2,3,1 A,3,2,1 . . B,1,3,2 B,2,1,2 B,3,3,2 . . ...... so on upto 50 rows where the column "*Tool*" has distinct steps in second column "*Step_Number*",but both have same entries in Step_Number column. I want the output like below.

Hi All, I have a data frame where nearly 10K columns of data, where most of them have standard deviation( of all rows) as zero. I want to exclude all the columns from the data frame and proceed to further processing. I tried like blow. *data <- read.csv("data.CSV", header=T) for(i in 2:ncol(data)) if(sd(data[,i])==0){ df[,i] <-NULL } * where I have the data columns from

Hello since my broad RFC request didn't catch any responses, let me get a bit more into the nitty-gritty: I tried to get llvm (3.7) to optimize superflous allocas away, but so far I haven't figured out how. Is there no optimizer for this ? Should I adorn something with some attributes ? As far as I can tell no, but I am no llvm expert... For what I want to do, i will probably have a

Caldarale, Charles R schrieb: > You have not provided us with the declaration for f(). Unless its argument is marked with the nocapture attribute, the compilation of g() cannot assume that f() has not retained a pointer to the x struct and is using it in the second call. > thanks a lot for the input. Yes, I forgot to that. The C function declaration would have been void f( struct a_b

Hello All, I use Cygwin ( unix on windows) heavily for all my text data processing. Also use Cygwin inbuilt *R* to do numerical processing. *My aim is to integrate R and unix commands to avoid heavy memory usage that R takes normally.* I can run many unix commands using system("some unix command or sh script.sh or even R file itself ") inside R. But, When I tried to run the command

Hi sorta piggybacking on the other thread. I am looking for some feedback on how to implement the following idea in llvm. The really short version of the idea is this: * I want to alloca a field (record/struct), so that its size is an even multiple of 64 bytes. [^1] * This allocaed field will be exclusively used as an argument to functions * llvm should be aware of the extra bytes and should

(Apologies if this is better suited for R-help.) On my system (macOS Sierra, late 2014 MacBook Pro; R 3.4.1, Homebrew build), I found that it is faster to construct a function using eval(call("function", ...)) than using as.function(list(...)). Example: make_fn_1 <- function(a, b) eval(call("function", a, b), env = parent.frame()) make_fn_2 <- function(a, b)

Hi, I'd like to know if it is possible to use wildcards * for indexing... E.g. I have a vector of strings. Now I'd like to select all elements which start with A_*? I'd also need to combine that with logical operators: "Select all elements of a vector that start with A (A*) OR that start with B (B*)" Probably that is quite easy. I looked into grep() which I think might

Can someone please confirm or correct the following statements? If I have the following tables create table as (id int, [...], b_id int); create table bs (id int, [...], a_id int); create table as_bs (a_id int, b_id int); and the associations woould be defined like this class A << ... habtm :bs belongs_to :b end so my Model A has a habtm collection of Bs *plus* a direct

Hi, i found another bug in FTS while parsing quoted-printable/base64-encoded sender's name inside 'From' header (again, i was figuring out why some of messages cannot be searched). Header: From: =?UTF-8?Q?A=2CB?= <test at example.com> Data send to Solr by Dovecot: <field name="from">A@, B &amp;lt;test at example.com&amp;gt;</field> Header:

Hello, If I have a dataframe: example(data.frame) zz<-c("aa_bb","bb_cc","cc_dd","dd_ee","ee_ff","ff_gg","gg_hh","ii_jj","jj_kk","kk_ll") ddd <- cbind(dd, group = zz) and I want to divide the column named group by the "_", how would I do this? so instead of the first row being x

I have a join table A_B with columns[a_id, b_id, c_data default 1, d_data default 1]. If I do: @aobj.bobjs.push_with_attributes(@bobj,{:c_data => 0}) I find that the row inserted, has d_data set to 0 and not the default value specified in the database, which is 1. So I am having to explicitly set it using : @aobj.bobjs.push_with_attributes(@bobj,{:c_data => 0, :d_data => 1}). Is this

It is minor thing, but how can I avoid converting "_" to "." ? e.g. I have a data set "test.csv" A,A_B,A_C,C,D X,11,0,13,14 Y,21,0,23,24 and when I read it all underscores are converted to dots (:<) > d <- read.csv("test.csv") > d A A.B A.C C D 1 X 11 0 13 14 2 Y 21 0 23 24 Ryszard [[alternative HTML version deleted]]

Good morning, I have something like this: names(coint_tests) <- apply(b,2,paste, collapse="_") which prints 15 names like: A_B, C_D, E_F, ... AA,B,C,D.. Are time series. Then there is a vector called coint_tests of length 15 which yields "yes" or "no". I need to add a function to plot the time series Ai_Bi if the coint_tests vectors gives me a "YES".

I''ve read through my RoR books and I can''t seem to find the solution. This is a pretty basic, easy, and practical application for RoR. If you guys know of any resources on the net to answer these questions let me know. Question 1: Basically, I have a many-to-many relationship that I want to add records to. I use something like this to add records in the A_B table:

I have a vector of gene symbols, some of which have multiple aliases. In the case of an alias, they are separated by ' \\\ '. Here is a real world example, which would represent one element of my vector: Eif4g2 /// Eif4g2-ps1 /// LOC678831 What I would like to do is input the vector into a function and output a vector with just the first alias of each element (or, if there are no aliases,

Dear R users, Inspired by previous list discussion of the glob2rxc function, I am attempting to create a new vector called TOTAL by summing all vectors whose names begin with ABC: TOTAL = sum(list = ls(pattern = glob2rx("ABC*"))) I'm running R 2.2.1 on Windows XP. Can anyone say what I'm missing? Thank you, Mark

Folks: I am getting a build failure when I: #' @importFrom utils shortPathName which roxygenizes it to the NAMESPACE. I suspect this is because this particular function is Windows-only, but I'm a bit confused how I should "properly" importFrom a function like this so it doesn't cause a build failure, but I don't get a note in my R CMD CHECK if I DON'T have it:

I have a fairly large data set with six variables set up like the following dummy: # Create fake data df <- data.frame(code = c(rep(1001, 8), rep(1002, 8)), year = rep(c(rep(2011, 4), rep(2012, 4)), 2), fund = rep(c("10E", "10E", "10E", "27E"), 4), func = rep(c("110000",

Hola, Carlos. Primero, muchas gracias por el código. No es exactamente lo que quería, porque la parte "Detección de presencia de "cual_1" y "cual_2"... no excluye aquellas combinaciones en las que está presente también el objeto c, pero me ha servido de base e inspiración para elaborar otro código. He copiado la primera parte de tu función, para crear todas las