Thank you everyone for the attempt to solve the problem
It is an irregular series and insert NAs when a date is missing
> library(zoo)
> z <- zoo(last$r_wvht, order.by=last$date)
> plot(z)
Error in plot.window(...) : need finite 'xlim' values
In addition: Warning messages:
1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
2: In min(x) : no non-missing arguments to min; returning Inf
3: In max(x) : no non-missing arguments to max; returning -Inf
I have also tried
> z <- read.zoo("plot1.csv", header = TRUE, sep = ",", format = "%m/%d/%Y")
> plot(z)
The plot does not look good. It does not display the individual dates.
Y
Y
On Tue, Jul 31, 2012 at 1:33 PM, Rui Barradas <ruipbarra...@sapo.pt> wrote:
> Hello,
>
> Sorry, I forgot the "time series" part of your question. You could use
> instead one of
>
> # 1. type = "l" gives a line plot
> plot(r_wvht ~ date, data = last, type="l")
>
> # 2. use time series object plot
> library(zoo)
> z <- zoo(last$r_wvht, order.by=last$date)
> plot(z)
>
> Rui Barradas
>
> Em 31-07-2012 18:27, Rui Barradas escreveu:
>
> Hello,
>>
>> You could use dput(), it's not your first post...
>>
>>
>> last <- structure(list(date = c("8/6/2008", "8/8/2008", "8/11/2008",
>> "8/13/2008", "8/14/2008", "8/18/2008", "8/20/2008", "8/27/2008",
>> "8/28/2008", "8/31/2008", "9/2/2008", "9/3/2008", "9/4/2008",
>> "9/5/2008", "9/8/2008", "9/11/2008", "10/12/2009", "10/14/2009",
>> "10/19/2009", "10/21/2009", "10/26/2009", "10/29/2009", "10/30/2009",
>> "11/2/2009", "11/3/2009", "11/4/2009", "11/11/2009", "11/13/2009"
>> ), r_wvht = c(0.9766667, 0.7733333, 1.4833333, 1.5766667, 1.39,
>> 0.78, 0.8383333, 1.77, 1.295, 2.41, 1.3166667, 1.3075, 1.39,
>> 1.6333333, 1.2416667, 1.395, 0.8633333, 2.79, 1.0325, 1.965,
>> 1.78, 1.5666667, 1.05, 1.4633333, 1.24, 1.0075, 1.605, 1.8475
>> )), .Names = c("date", "r_wvht"), class = "data.frame", row.names = c("1",
>> "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13",
>> "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24",
>> "25", "26", "27", "28"))
>>
>> last$date <- as.Date(last$date, format="%m/%d/%Y")
>>
>> plot(r_wvht ~ date, data = last)
>>
>> (You were forgetting that last$date was a character vector, not class
>> Date.)
>>
>> Hope this helps,
>>
>> Rui Barradas
>>
>> Em 31-07-2012 18:02, Yolande Tra escreveu:
>>
>>> Hello,
>>>
>>> This should be pretty simple but I cannot get it right. Please point to
>>> the
>>> right code. Thanks.
>>>
>>> last <- read.csv(file.path(dataDir,"**plot1.csv"), as.is
>>>> =T,stringsAsFactors
>>>>
>>> = FALSE)
>>>
>>>> last
>>>>
>>> date r_wvht
>>> 1 8/6/2008 0.9766667
>>> 2 8/8/2008 0.7733333
>>> 3 8/11/2008 1.4833333
>>> 4 8/13/2008 1.5766667
>>> 5 8/14/2008 1.3900000
>>> 6 8/18/2008 0.7800000
>>> 7 8/20/2008 0.8383333
>>> 8 8/27/2008 1.7700000
>>> 9 8/28/2008 1.2950000
>>> 10 8/31/2008 2.4100000
>>> 11 9/2/2008 1.3166667
>>> 12 9/3/2008 1.3075000
>>> 13 9/4/2008 1.3900000
>>> 14 9/5/2008 1.6333333
>>> 15 9/8/2008 1.2416667
>>> 16 9/11/2008 1.3950000
>>> 17 10/12/2009 0.8633333
>>> 18 10/14/2009 2.7900000
>>> 19 10/19/2009 1.0325000
>>> 20 10/21/2009 1.9650000
>>> 21 10/26/2009 1.7800000
>>> 22 10/29/2009 1.5666667
>>> 23 10/30/2009 1.0500000
>>> 24 11/2/2009 1.4633333
>>> 25 11/3/2009 1.2400000
>>> 26 11/4/2009 1.0075000
>>> 27 11/11/2009 1.6050000
>>> 28 11/13/2009 1.8475000
>>>
>>>> x<-as.vector(last$date)
>>>> x
>>>>
>>> [1] "8/6/2008" "8/8/2008" "8/11/2008" "8/13/2008" "8/14/2008"
>>> "8/18/2008" "8/20/2008" "8/27/2008"
>>> [9] "8/28/2008" "8/31/2008" "9/2/2008" "9/3/2008" "9/4/2008"
>>> "9/5/2008" "9/8/2008" "9/11/2008"
>>> [17] "10/12/2009" "10/14/2009" "10/19/2009" "10/21/2009" "10/26/2009"
>>> "10/29/2009" "10/30/2009" "11/2/2009"
>>> [25] "11/3/2009" "11/4/2009" "11/11/2009" "11/13/2009"
>>>
>>>> y<-as.vector(last$r_wvht)
>>>> y
>>>>
>>> [1] 0.9766667 0.7733333 1.4833333 1.5766667 1.3900000 0.7800000
>>> 0.8383333
>>> 1.7700000 1.2950000 2.4100000
>>> [11] 1.3166667 1.3075000 1.3900000 1.6333333 1.2416667 1.3950000
>>> 0.8633333
>>> 2.7900000 1.0325000 1.9650000
>>> [21] 1.7800000 1.5666667 1.0500000 1.4633333 1.2400000 1.0075000
>>> 1.6050000
>>> 1.8475000
>>>
>>>> plot(x,y)
>>>>
>>> Error in plot.window(...) : need finite 'xlim' values
>>> In addition: Warning messages:
>>> 1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
>>> 2: In min(x) : no non-missing arguments to min; returning Inf
>>> 3: In max(x) : no non-missing arguments to max; returning -Inf
>>>
>>>> plot(x,y,xlim=c("6/8/2008","**11/13/2009"))
>>>>
>>> Error in plot.window(...) : invalid 'xlim' value
>>> Y
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________**________________
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>>> PLEASE do read the posting guide http://www.R-project.org/**
>>> posting-guide.html <http://www.r-project.org/posting-guide.html>
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>> ______________________________**________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help>
>> PLEASE do read the posting guide http://www.R-project.org/**
>> posting-guide.html <http://www.r-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
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