[R] preceding X. and X
Nordlund, Dan (DSHS/RDA)
NordlDJ at dshs.wa.gov
Thu Oct 27 21:37:53 CEST 2011
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Ben quant
> Sent: Thursday, October 27, 2011 12:26 PM
> To: r-help at r-project.org
> Subject: Re: [R] preceding X. and X
>
> Figured it out. Solution:
> dat=read.csv(file_path, header=F)
> > dat
> V1 V2 V3 V4 V5 V6 V7
> V8 V9 V10 V11 V12 V13 V14
> V15 V16 V17 V18 V19 V20
> 1 0 -0.2404324 0.3554681 -0.21147 1.18128 -0.2279752 0.7483484 -
> 1.049239
> 0.5660589 -0.1840771 -0.6933892 -0.4749619 -0.5575557 0.3741988
> 0.5606208
> -0.06091273 0.6453374 0.3537118 -0.09991461 -0.3207118
> V21 V22 V23 V24 V25 V26
> V27 V28 V29 V30 V31 V32 V33
> V34 V35 V36 V37 V38 V39
> 1 0.3321949 0.5137949 0.2281249 0.1412501 0.8793599 0.7216529 -1.147237
> -0.0871542 0.3021812 0.05944923 -0.2407231 0.3589717 -0.4295433 -
> 0.07399785
> -0.1088064 0.6161071 -0.2026699 -0.2004506 0.1542169
> V40 V41 V42 V43 V44 V45
> V46 V47 V48 V49 V50 V51 V52
> V53 V54 V55 V56 V57 V58
> 1 -0.06293466 1.160775 -0.1009804 -0.4574294 0.1289299 -0.1434428 -
> 1.090505
> -0.2702305 -0.4381005 -0.06666691 0.1836706 0.728843 0.2219863 -
> 0.7939716
> -0.2580837 0.4604682 -0.6085527 -0.1102456 -0.2470147
> V59 V60 V61 V62 V63 V64
> V65 V66 V67 V68 V69 V70 V71
> V72 V73 V74 V75 V76 V77
> 1 -0.1374674 0.05771337 0.615591 -0.2103958 0.3729799 -0.7636618
> 1.222489
> 1.175414 1.349652 -0.0653956 0.4461732 0.7385489 0.4267874 -0.4099944
> -0.4456437 0.1310654 0.5912901 0.03645256 -0.1760742
> V78 V79 V80
>
> Thanks,
> Ben
>
> On Thu, Oct 27, 2011 at 1:12 PM, Justin Haynes <jtor14 at gmail.com>
> wrote:
>
> > Id look at the actual csv file. I assume it has the X there also.
> > sounds like a good candidate for some data munging tools first before
> > you bring it into R. also ?str of the data would be helpful. My
> first
> > guess is those are all being read as column names. Were they data in
> > the data.frame dat the should be quoted:
> >
> > > dat<-c('X0.0','X.0.24','X0.35','X.0.211')
> > > dat
> > [1] "X0.0" "X.0.24" "X0.35" "X.0.211"
> >
> > versus:
> >
> > > names(dat)<-c('col_one','X.0.44',0.65,'last_col')
> > > dat
> > col_one X.0.44 0.65 last_col
> > "X0.0" "X.0.24" "X0.35" "X.0.211"
> >
> >
> >
> > However, if you want to use R to clean it up, I'd use the stringr
> package.
> >
> > > library(stringr)
> >
> > > dat<-str_replace(dat,'X.0.','-0.')
> > > dat
> > [1] "X0.0" "-0.24" "X0.35" "-0.211"
> > > dat<-str_replace(dat,'X','')
> > > dat
> > [1] "0.0" "-0.24" "0.35" "-0.211"
> > > dat<-as.numeric(dat)
> > > dat
> > [1] 0.000 -0.240 0.350 -0.211
> > >
> >
> > hope that helps,
> >
> > Justin
> >
> >
> > On Thu, Oct 27, 2011 at 11:47 AM, Ben quant <ccquant at gmail.com>
> wrote:
> > > Hello,
> > >
> > > Why do I get preceding "X." (that is a and X followed by a period)
> for
> > > negative numbers and an "X" for positive numbers when I read a csv
> file?
> > Am
> > > I stuck with this? If so, how do I convert it to normal numbers?
> > >
> > > dat=read.csv(file_path)
> > >
> > >> dat
> > > [1] X0.0 X.0.240432350374 X0.355468069625
> > > X.0.211469972378 X1.1812797415 X.0.227975150826
> X0.74834842067
Ben,
Are you sure that is what you want? What is the result of running
str(dat)
Dan
Daniel J. Nordlund
Washington State Department of Social and Health Services
Planning, Performance, and Accountability
Research and Data Analysis Division
Olympia, WA 98504-5204
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