similar to: R splits character fields in a csv file

I took the "everything" iso and did the dd command to my 16G thumb drive. I booted and entered my usual ks=http://xxx on the boot line. All good so far. It gets my kickstart file and installation begins. At some point it says Installing libreoffice-opensymbol-fonts (492/1948) Retrying download of 1:libreoffice-opensymbol-fonts-5.3.6.1-21.el7.norarch then after 10 retries it fails. I

Is there a way to use read.csv() on such a file without deleting one of the header rows? Thanks.

the csv files are downloaded from a database and it looks like some character fields contain the CR-LF sequence within them. This causes R to see a new record/row and the number of rows it sees is different (usually higher) from the number of rows actually extracted. Any suggestions? Thanks.

I have a dataframe with columns "ID",'date","estimate","actual" (but not necessarily in that order - I do a merge somewhere and that somehow messes up the order of the columns). How can I output it to a csv file with the columns in the order that I want? Thanks.

Hi to all. I recently upgraded to shorewall ver 2.3 from 2.0 so I could explore the multiple ISP/dual default route setup feature of version 2.3, I also upgraded iptables from 1.2 to 1.3 (rpm-based install) but when I tried to start shorewall it terminates and I noticed it''s giving me this error iptables: No chain/target/match by that name ERROR: Command "/sbin/iptables -t mangle -A

I tried a date by date forecast of a time series and it seems to be too wild. How can I aggregate the date into weeks or months as required? Thanks. The input looks like ID datadate("YYYY-MM-DD") value_for_day -- ----- ------- -- ------ -------- and I want to be able to change it to ID dataweek value_for_week or

(1) > a = c("a","b") > mode(a) [1] "character" > b = c(1,2) > mode(b) [1] "numeric" > c = data.frame(a,b) > mode(c$a) [1] "numeric" (2) > a = c("a","a","b","b","c") > levels(as.factor(a)) [1] "a" "b" "c" > levels(as.factor(a[1:3])) [1]

Hi guys. I'm running: Mandrake 9.2 Kernel 2.4.22-30mdk XFS file system Samba 3.0.5 plus patches for bugs 1315, 1319 and 1345 (self compiled) OpenLDAP 2.1.22-5mdk smbldap-tools 0.8.5 I was able to join the Samba to the NT PDC as a BDC and vampire without issue. I have setup duplicate shares on Samba and am trying to copy over the data from NT. I have tried scopy, xcopy and copying via

First, excuse me because I don't speak english very well (perhaps this is the reason that I mess up something when reading the documentation). I have read the Howto, some Examples and the book and I have some doubts which I like to solve. Excuse me for the big post, too ;) My starting point: - 3 Debian Linux Samba Servers - 1 Windows XP SP3 Professional - 1 OpenLDAP Server (on another Debian

(1) I have a master data frame that reads ClientID |date |value (2) I also have a control data frame that reads Client ID| Min date| Max date| control parameters The control data set may not have all client IDs . I want to use the control data frame on the master data frame to remove client IDS that don't exist in the control data set and for those that do, remove dates outside the

I have > df quantity branch client date name 1 10 1 1 2010-01-01 one 2 20 2 1 2010-01-01 one 3 30 3 2 2010-01-01 two 4 15 4 1 2010-01-01 one 5 10 5 2 2010-01-01 two 6 20 6 3 2010-01-01 three 7 1000 1 1 2011-01-01 one 8 2000 2 1 2011-01-01

I have a data frame that reads client ID date transcations 323232 11/1/2010 22 323232 11/2/2010 0 323232 11/3/2010 missing 121212 11/10/2010 32 121212 11/11/2010 15 ................................. I want to order the rows by client ID and date and using a black-box forecasting method create the data fcst(client,date of forecast, date for which forecast applies). Assume that I

Hi All,   I am currently trying to familiarize with "ff" package which allows me to store R objects in the hard drive. One of things that I notice when reading in a text file with "read.csv.ffdf" function - is that, in the R temp folder, 1000+ small files get created, each file having a name like "ffdf1bcd8b4aa0.ff". Each file is about 5KB in size.   My understanding

an example available on the net goes like > df identifier quantity 1 1 10 2 1 20 3 2 30 4 1 15 5 2 10 6 3 20 > aggregate(df$quantity, by=list(df$identifier), sum) Group.1 x 1 1 45 2 2 40 3 3 20 I'd like Group.1 to retain the name "identifier" and would like to

I have a data frame with three columns client ID | date | value For each cilent ID I want to determine Min date and Max date and for any dates in between that are missing I want to insert a row Client ID | date| NA Any help would be appreciated.

Hello, All: What can people tell me about converting back slashes to forward slashes in character strings? Several years ago, Prof. Ripley provided a solution, which I lost and have not been able to find. Below please find a function to do this. I do not find this very satisfactory, however, because it uses "scan" and therefore operates on an input not a

Hi all I'm have a character vector and would like to suppress the blanks if there are more than one after the other. Example: Character value is: "abc def ghi" The result should be: "abc def ghi" I know that it's possible to delete the leading blanks with the command "trim". But how can I delete blanks within a character? Thank you very much in

Hello, I'm trying to read data in from a file using scan(). The last field is a character string that contains blanks. I had read it in in S-Plus using this code: ifile <- list(entry=0,measure=0,st=0,count=0,score=0, error=0,inmsq=0,instd=0,outms=0,outstd=0,displc=0,ptbis=0,a=0, r="",name="") if.widths <- c(1, 5, 8, 3, 6, 7, 7, 7, 7, 7, 7, 7, 7, 2,

Dear R users! I am using R Version 1.7.1, Windows XP, package "foreign" (Version: 0.6-1), SPSS 11.5.1. There is one thing I noticed with "read.spss", and I'd like to ask if this is considered to be a feature, or possibly a bug: When reading character columns, character strings seem to get filled with blanks at the end. Simple example: In SPSS, create a file with one

Hi, I have a comma seperated data file which has blanks in it. I am trinying to import it to R using data1<-read.csv("oa_2006.csv", header = TRUE, sep = ",", quote="\"", dec=".") I want the missing values to be "NA". instead R reads them as "U". Any idea why this happens ? Thanks in advance. Regards, Nataraju GM