Excel has a data validation facility and also has data input forms to
facilitate data entry.

On Tue, Oct 21, 2008 at 1:45 PM, Greg Snow <[EMAIL PROTECTED]> wrote:
> Stephen,
>
> One of the big problems with spreadsheets (other than the column limit in 
> some) is that the standard entry mode allows too much flexibility which does 
> nothing to help you avoid data entry errors.  The Webpage: 
> http://www.burns-stat.com/pages/Tutor/spreadsheet_addiction.html has some 
> examples of this going wrong, including one that happened to my group where 
> the column for dates was not preformatted, the dates were entered using 
> European format, and Excel did 2 different wrong things with them making it 
> very difficult to do anything with the data without major extra work.  If you 
> are going to stick with a spreadsheet, then at a minimum you should start by 
> naming all your columns, then formatting each column based on the type of 
> data you expect to be entered there.
>
> Going the database route is not that much to learn to get started.  You can 
> use MSAccess, or the OpenOffice database, create a new table and enter the 
> names of each column along with the data type (this is a big advantage in 
> that it will not allow you to enter character data where numbers are 
> expected, forces dates to look like dates, etc.).  It is not that much extra 
> work to enter valid levels for what will become factors (e.g. "Male" and 
> "Female" for sex, so that those are the only values allowed, my current 
> record for datasets entered by others using spreadsheets is 9 sexes).  Then 
> you can pick up more as you go along, but setting up the first database to 
> enter data should only take you an hour or so to learn the basics.
>
> Another option is to just use R, the following code gives one approach that 
> could get you started entering data:
>
> tmp <- rep( list(character(0), numeric(0)), c(2,5) )
> names(tmp) <- c( 'ID','Sex', paste('Stream', 1:5, sep='') )
> tmp <- as.data.frame(tmp)
> levels(tmp$Sex) <- c("Female","Male")
> tmp$ID <- as.character(tmp$ID)
>
> mydata <- edit(tmp)
>
> Hope this helps,
>
> --
> Gregory (Greg) L. Snow Ph.D.
> Statistical Data Center
> Intermountain Healthcare
> [EMAIL PROTECTED]
> 801.408.8111
>
>
>> -----Original Message-----
>> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
>> project.org] On Behalf Of stephen sefick
>> Sent: Monday, October 20, 2008 7:02 PM
>> To: R Help
>> Subject: Re: [R] Staging area for data before read into R
>>
>> Well, I am going to type in ever value because the data sheets are of
>> counts of insects that I identified, so I should be okay with
>> accuracy...  I really just need something that allows for more than
>> 256 columns as I have encounter over 256 species of insects in even
>> small streams.  I think calc with it's 1000ish columns will do the
>> trick... thanks everbody for your help.
>>
>> On Mon, Oct 20, 2008 at 8:25 PM, Gabor Grothendieck
>> <[EMAIL PROTECTED]> wrote:
>> > There is a list of free spreadsheets with their row and column limits
>> > at this link:
>> > http://en.wikipedia.org/wiki/OpenOffice.org_Calc
>> >
>> > On Mon, Oct 20, 2008 at 3:13 PM, stephen sefick <[EMAIL PROTECTED]>
>> wrote:
>> >> sorry excel 2003 with no immediate update in the future.
>> >>
>> >> On Mon, Oct 20, 2008 at 3:12 PM, Gabor Grothendieck
>> >> <[EMAIL PROTECTED]> wrote:
>> >>> You didn't say which version of Excel you are using but Excel 2007
>> >>> allows 16,384 columns.
>> >>>
>> >>> On Mon, Oct 20, 2008 at 2:27 PM, stephen sefick <[EMAIL PROTECTED]>
>> wrote:
>> >>>> I am wondering if there is a better alternative than Excel for
>> data
>> >>>> storage that does not require database knowledge (I will
>> eventually
>> >>>> have to learn this, but it is not on my immediate todo list).  I
>> need
>> >>>> something that is not limited to 256 columns... I don't need any
>> of
>> >>>> the built in functions in excel just a spreadsheet like program
>> with
>> >>>> cells that hold data in a data.frame format for a staging area
>> before
>> >>>> I get it into R.  Any help would be greatly appreciated.  This is
>> not
>> >>>> a direct r question, but all of you folks have more experience
>> than I
>> >>>> do and I am having a time finding what I need with google.
>> >>>> thanks in advance
>> >>>>
>> >>>> --
>> >>>> Stephen Sefick
>> >>>> Research Scientist
>> >>>> Southeastern Natural Sciences Academy
>> >>>>
>> >>>> Let's not spend our time and resources thinking about things that
>> are
>> >>>> so little or so large that all they really do for us is puff us up
>> and
>> >>>> make us feel like gods.  We are mammals, and have not exhausted
>> the
>> >>>> annoying little problems of being mammals.
>> >>>>
>> >>>>                                                                -K.
>> Mullis
>> >>>>
>> >>>> ______________________________________________
>> >>>> R-help@r-project.org mailing list
>> >>>> https://stat.ethz.ch/mailman/listinfo/r-help
>> >>>> PLEASE do read the posting guide http://www.R-project.org/posting-
>> guide.html
>> >>>> and provide commented, minimal, self-contained, reproducible code.
>> >>>>
>> >>>
>> >>
>> >>
>> >>
>> >> --
>> >> Stephen Sefick
>> >> Research Scientist
>> >> Southeastern Natural Sciences Academy
>> >>
>> >> Let's not spend our time and resources thinking about things that
>> are
>> >> so little or so large that all they really do for us is puff us up
>> and
>> >> make us feel like gods.  We are mammals, and have not exhausted the
>> >> annoying little problems of being mammals.
>> >>
>> >>                                                                -K.
>> Mullis
>> >>
>> >
>>
>>
>>
>> --
>> Stephen Sefick
>> Research Scientist
>> Southeastern Natural Sciences Academy
>>
>> Let's not spend our time and resources thinking about things that are
>> so little or so large that all they really do for us is puff us up and
>> make us feel like gods.  We are mammals, and have not exhausted the
>> annoying little problems of being mammals.
>>
>>                                                                 -K.
>> Mullis
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide 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
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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