similar to: Confusion using "functions to access the function call stack" example section

my problem is more complex than below but I think below can suffice. i have a list and the name of it at the top level is GGG. so, if i do an lapply and operate on lower components in the sublist, then I can do as shown in EXAMPLE 1 and what will come back will be named GGG at the top level. but, suppose that , the function inside the lapply function was more complex and i wanted to

I have a samba server at ip address aaa.bbb.ccc.ddd I can connect to it from clients on subnets aaa.bbb.eee. and aaa.bbb.fff. I can't connect to it from clients on ggg.hhh. smb.conf has hosts deny = all hosts allow = localhost, aaa.bbb., ggg.hhh. The client can successfully 'ping mysambaserver' (resolves to aaa.bbb.ccc.ddd). Doing 'net view \\mysambaserver' fails with

I have strings of the form TICKER.GGG.XXXXXX.dat but GGG is not always three characters so I can't use substr to pull it out of the string. Could someone tell me how to use sub to pull out the GGG but more generally the string between the dot after the R in TICKER and the next dot. I still don't have a very good understanding of regular expressions but I'm trying to get that

OK. "passdb/userdb" Setting part $ dovecot -n (Excerpt from change) ---------------------------------------------------------------------------- --------------------- passdb { args = scheme=CRYPT username_format=%u /etc/dovecot/users.auth driver = passwd-file } userdb { args = username_format=%u /etc/dovecot/users.auth driver = passwd-file } protocol lmtp { info_log_path =

Hi I want to extract columns from a data frame using a vector with the desired column names. This short example uses the select argument in the subset function to accomplish what I am trying to do. Is there a better solution? #names of desired columns colnames <- c("col1","col3") #my data data <-

Hi friends, I have following data and would like to plot this with barchart() availble with lattice package. RsID Freqs Genotype AAA 63.636 1/1 AAA 32.727 1/2 AAA 3.636 2/2 BBB 85.965 2/2 BBB 14.035 2/1 CCC 63.158 1/1 CCC 21.053 1/2 CCC 15.789 2/2 DDD 26.786 2/2 DDD 46.429 2/1 DDD 26.786 1/1 EEE 32.759 2/2 EEE 43.103 2/1

Full_Name: Yi-Xiong Zhou Version: 1.5.1 OS: win2000pro Submission from: (NULL) (64.169.249.42) Update() can not find objects when it is used in a function, which is in turn being called by another function. Here is a R script to show the problem: ######## begin of the test script ########## fun1 <- function() { x <- matrix(rnorm(500), 20,25) y <- rnorm(20) oo <- lm(y~x)

I've got two tables.... first one(table1): ID chrom start end Ex1 2 152 180 Ex2 10 2000 2220 Ex3 15 3000 4000 second one ( table2): chrom location name 2 160 Alv 2 190 GNN 2 100

I've got a server with several ip's on eth0. I want to block all traffic *except* to port 80 on them, but not on any other IPs, so that eth0 is www.xxx.yyy.zzz eth0:1 is www.xxx.yyy.ggg eth0:2 is www.xxx.yyy.hhh I've tried -A RH-Firewall-1-INPUT -p tcp -d www.xxx.yyy.ggg --dport ! 80 -j DROP -A RH-Firewall-1-INPUT -p tcp -d www.xxx.yyy.hhh --dport ! 80 -j DROP and restarted (and

How do i resolve this? symbol <- c('RRR' ,'GGG') for(i in seq_along(symbol)) { dat <- Quandl("LLL/symbol[i]") } required solutionis a loop where Quandl is a function and it loops as flows, Quandl("LLL/RRR") Quandl("LLL/GGG")

Here are what i am going to accomplish: I have 400 files named as xxx.txt. the content of the file looks like the following: name count 1. aaa 100 2. bbb 2000 3. ccc 300 4. ddd 3000 ........ more that 1000 rows in each files. these are the areas i need help: 1. how can i only read in the files with the string patterns ggg or fff as part of the file names? for

Hi, I would like to extract columns from a dataframe using a vector of desired column names. The following working example uses the select argument in the subset function to accomplish what I am trying to do. Is there a better solution? Thanks. #my data data <- data.frame("col1"=c(1,2,3),"col2"=c("A","B","C"),"col3"=c(4,5,6))

Dear R-Users I have a problem accessing some values in the output from the summary of an lme fit. I fit the model below: ggg <- lme (ST~ -1 + as.factor(endp):Z.sas + as.factor(endp), data=dat4a, random=~-1 + as.factor(endp) + as.factor(endp):Z.sas|as.factor(trials), correlation = corSymm(form=~1|as.factor(trials)/as.factor(id)), weights=varIdent(form=~1|endp)) hh

Dear mailing list I have a data that have 20,000 rows and 20 columns. Io wonted to extract the 10th row only. Example the 10th, 20th, 30th 40th…..20000 th. can you please help me how do I do that.Than kyou. Example is below. Inpute: AG GG GG AG CC CC CC CC CT CC CT CT GG GG GG GG CC CC CC CC GG GG GG GG CC CC CC CC GG CG CG GG GG GG GG GG *CC CC CC CC* AA AG AG AA AA AA AA AA GG AG AG GG GG AG AG

? Tue, 12 Mar 2024 12:33:17 -0700 Herv? Pag?s <hpages.on.github at gmail.com> ?????: > The acrobatics that as.data.frame.factor() is going thru in order to > recognize a direct call don't play nice if as.data.frame() is an S4 > generic: > > ??? df <- as.data.frame(factor(11:12)) > > ??? suppressPackageStartupMessages(library(BiocGenerics)) > ???

Dear All I have a data.frame like that: structure(list(name = c("Gga_rs10722041", "Gga_rs10722249", "Gga_rs10722565", "Gga_rs10723082", "Gga_rs10723993", "Gga_rs10724555", "Gga_rs10726238", "Gga_rs10726461", "Gga_rs10726774", "Gga_rs10726967", "Gga_rs10727581", "Gga_rs10728004",

Hi all, I'm facing a problem when a user (q and g in this example) is logging into dovecot. Can anybody tell some hint? Thanks in advance. George /var/log/mail.log: ... Jan 8 16:18:28 test dovecot: User q is missing UID (see mail_uid setting) Jan 8 16:18:28 test dovecot: imap-login: Internal login failure (auth failed, 1 attempts): user=<q>, method=PLAIN, rip=AAA.BBB.CCC.DDD,

Hi, I am trying to split multiple columns. One column works just fine, but I want to do it for multiple columns??? Example > a ID V2 V3 V4 V5 V6 V7 V8 V9 V10 1 PBBA0644 -- GG AA -- AA -- AA GG GG 2 PBBA1010 -- GG AA -- AA -- AA GG GG 3 0127ATPR -- GG AA -- AA -- AA GG GG 4 0128EHAB -- GG AA -- AG -- AA AG GG 5 PBBA0829 -- GG AA -- AA -- AA GG AG

Here are what i am going to accomplish: I have 400 files named as xxx.txt. the content of the file looks like the following: name count 1. aaa 100 2. bbb 2000 3. ccc 300 4. ddd 3000 ........ more that 1000 rows in each files. these are the areas i need help: 1. how can i only read in the files with the string patterns ggg or fff as part of the file names? for instance, I

Dear list, I am trying to evaluate how many elements in a vector equal a certain value. The vectors are the columns of a data.frame, read in using read.table(): > dim(data) [1] 2600 742 > data[1:5,1:5] SNP001 SNP002 SNP003 SNP004 SNP005 1 GG AA TT TT GG 2 GG AA TC TT GG 3 GG AC CC TT GG 4 AG AA TT TT GG 5