[R] readRDS, In as.double.xts(fishReport$count) : NAs introduced by coercion

[arun]

HI Yolande,

No problem.  


I tried to get a solution to your old post yesterday after converting xts object to dataframe.  But, still I am getting the error message that the lengths differ.  I don't know how to fix that.  

A.K.




________________________________
From: Yolande Tra <yolande.tra at gmail.com>
To: arun <smartpink111 at yahoo.com> 
Cc: R help <r-help at r-project.org> 
Sent: Sunday, July 29, 2012 1:37 PM
Subject: Re: [R] readRDS, In as.double.xts(fishReport$count) : NAs introduced by coercion


Thanks. It was very helpful.
Y


On Sun, Jul 29, 2012 at 2:45 AM, arun <smartpink111 at yahoo.com> wrote:

Hello,
>
>I tried to do the same thing that you have done.  Without the timestamps as rownames (xts object), there were no errors.
>
>dat1<-read.table(text="
>
>dive_id  date        time      species        count size
>
> 1 08/06/2008 8:49:00 S.OYT        15 6
>
> 1 08/06/2008 8:49:00 S.atrovirens 1 23
>",header=TRUE, sep="")
> dat2<-dat1
>saveRDS(dat2,"dat2.rds")
> dat3<-readRDS("dat2.rds")
> str(dat3)
>#'data.frame':    2 obs. of  6 variables:
># $ dive_id: int  1 1
># $ date   : Factor w/ 1 level "08/06/2008": 1 1
># $ time   : Factor w/ 1 level "8:49:00": 1 1
># $ species: Factor w/ 2 levels "S.atrovirens",..: 2 1
># $ count  : int  15 1
># $ size   : int  6 23
>dat3$count<-as.numeric(dat3$count)
> is.numeric(dat3$count)
>#[1] TRUE
>
>####Now with timestamps as row.names
>library(xts)
>
> DateTime<-as.POSIXct(c("2008-08-06 08:49:00","2008-08-06 08:49:00"),format="%Y-%m-%d %H:%M")
>dat4<-xts(dat1,order.by=DateTime)
> saveRDS(dat4,"dat4.rds")
> dat5<-readRDS("dat4.rds")
> identical(dat4,dat5)
>#[1] TRUE
>dat5$count<-as.numeric(dat5$count)
>#Here, I didn't get the warning message that you got
>> is.numeric(dat5$count)
>#[1] FALSE
>#So, I assume that it is not because of reading the file as an RDS extension, but reading it as an xts object.
>#You can convert the xts to dataframe and do the conversion of "count" column to numeric.
>dat6<-data.frame(date=index(dat5),coredata(dat5))
>
>
> str(dat6)
>#'data.frame':    2 obs. of  7 variables:
> #$ date   : POSIXct, format: "2008-08-06 08:49:00" "2008-08-06 08:49:00"
> #$ dive_id: Factor w/ 1 level "1": 1 1
> #$ date.1 : Factor w/ 1 level "08/06/2008": 1 1
> #$ time   : Factor w/ 1 level "8:49:00": 1 1
> #$ species: Factor w/ 2 levels "S.atrovirens",..: 2 1
> #$ count  : Factor w/ 2 levels " 1","15": 2 1
> #$ size   : Factor w/ 2 levels "23"," 6": 2 1
> dat6$count<-as.numeric(dat6$count)
> is.numeric(dat6$count)
>#[1] TRUE
>I hope this helps.
>
>A.K.
>
>
>
>
>
>
>
>
>----- Original Message -----
>From: Yolande Tra <yolande.tra at gmail.com>
>To: R help <r-help at r-project.org>
>Cc:
>Sent: Saturday, July 28, 2012 10:23 PM
>Subject: [R] readRDS, In as.double.xts(fishReport$count) : NAs introduced by coercion
>
>Hello,
>
>I looked in the R-help but could not find an archive addressing the
>following. I would like to convert a character to numeric after reading a
>file with RDS extension. After using as.numeric, I checked if it is
>numeric. It was not converted. Please help.
>
>Here is my code
>
>>Report <- readRDS(file="RDS/Report.RDS")
>> Report[1:2,]
>                    dive_id date         time      species         count
>size
>2008-08-06 08:49:00 " 1"    "08/06/2008" "8:49:00" "S. OYT"        "15"
>"6"
>2008-08-06 08:49:00 " 1"    "08/06/2008" "8:49:00" "S. atrovirens" "1"
>"23"
>                    site      depth level TRANSECT VIS_M TEMP_C swell_URSKI
>2008-08-06 08:49:00 "Hopkins" "15"  "B"   "1"      "3.5" "13.9" "1.0686708"
>2008-08-06 08:49:00 "Hopkins" "15"  "B"   "1"      "3.5" "13.9" "1.0686708"
>> Report$count<-as.numeric(Report$count)
>Warning message:
>In as.double.xts(fishReport$count) : NAs introduced by coercion
>>is.numeric(Report$count)
>[1] FALSE
>Thank you,
>Y
>
>
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>
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