[R] Error in make.names(col.names, unique = TRUE) : invalid multibyte string at '<ca>14 <4a>ULY 2012'
Dalthorp, Daniel
ddalthorp at usgs.gov
Fri Mar 11 01:32:43 CET 2016
Hi Ken,
Without seeing your .csv file or how you are trying to read it, it's tough
to diagnose the trouble. I inserted commas between the columns in your data
snippet, pasted into Excel, saved as .csv file called "datesfile.csv" in
the R working directory. Then, the following worked fine for me:
junk<-read.csv("datesfile.csv", header = TRUE)
junk # is a dataframe with headers Gender, DOB, etc.
# Age at screening (in days):
as.Date(junk$Screen.Date,format="%d %B %Y")-as.Date(junk$DOB,format="%d %B
%Y")
# Age at screening (in years):
as.numeric(as.Date(junk$Screen.Date,format="%d %B
%Y")-as.Date(junk$DOB,format="%d %B %Y"))/365.2425
I hope this helps.
-Dan
On Thu, Mar 10, 2016 at 11:34 AM, KMNanus <kmnanus at gmail.com> wrote:
> I’m trying to read in the data below from an Excel file (as a .csv file)
> in order to create an age (in years.%years) but am getting the error
> message in the subject line.
>
> I’ve tried saving the dates as dates in Excel and tried saving the dates
> as text, both give me the same error message. Can someone pls tell me what
> I’m doing wrong?
>
> Gender DOB Diagnosis Screen Date
> Male 14 JULY 2012 No 05 OCTOBER 2015
> Female 31 OCTOBER 2009 No 30 NOVEMBER 2015
> Female 08 JULY 2009 No 06 DECEMBER 2015
> Male 04 JUNE 2011 NA 11 JANUARY 2016
> Female 21 AUGUST 2009 Yes 01 FEBRUARY 2016
> Male 05 NOVEMBER 2007 No 16 FEBRUARY 2016
> Male 01 JUNE 2009 NA 29 FEBRUARY 2016
>
>
>
> Ken
> kmnanus at gmail.com
> 914-450-0816 (tel)
> 347-730-4813 (fax)
>
>
>
> ______________________________________________
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--
Dan Dalthorp, PhD
USGS Forest and Rangeland Ecosystem Science Center
Forest Sciences Lab, Rm 189
3200 SW Jefferson Way
Corvallis, OR 97331
ph: 541-750-0953
ddalthorp at usgs.gov
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