Hi,
I have tried what you suggest here, and it seems not to work, can you help
me?
I want to do a lm regression, some of the variables are going to be affected
with log, I would like not no take into account those rows which imply doing
log(0)
for just one variable I have done the following bu
On Dec 13, 2010, at 3:07 PM, Barry Rowlingson wrote:
On Mon, Dec 13, 2010 at 7:36 PM, Steve Sidney
wrote:
Oh dear oh dear!!! another arrogant statistician/scientist
One asks for help and instead one gets an ear full!!!
we're statisticians. we love data. we hate seeing it go to waste.
ev
Firstly apologies that I didn't see Ben's original response, thanks.
(Found that I had my subscription to the list disabled, so only received
mails to my address directly.)
Also I shouldn't have had the 'knee-jerk' re-action that I did and
should have followed Bert's advice by not replying, bu
On 2010-12-13 11:36, Steve Sidney wrote:
Oh dear oh dear!!! another arrogant statistician/scientist
One asks for help and instead one gets an ear full!!!
So much for the much vaunted helpful R community.
But thanks anyway, I guess you were trying
Steve
Ouch!!
I didn't offer advice e
On Mon, Dec 13, 2010 at 7:36 PM, Steve Sidney wrote:
> Oh dear oh dear!!! another arrogant statistician/scientist
>
> One asks for help and instead one gets an ear full!!!
>
> So much for the much vaunted helpful R community.
>
> But thanks anyway, I guess you were trying
Steve,
we're
Steve Sidney mweb.co.za> writes:
>
> Oh dear oh dear!!! another arrogant statistician/scientist
>
> One asks for help and instead one gets an ear full!!!
>
> So much for the much vaunted helpful R community.
>
> But thanks anyway, I guess you were trying
>
> Steve
>
I know I shoul
Oh dear oh dear!!! another arrogant statistician/scientist
One asks for help and instead one gets an ear full!!!
So much for the much vaunted helpful R community.
But thanks anyway, I guess you were trying
Steve
On 2010/12/13 08:17 PM, Bert Gunter wrote:
Inline below. -- Bert
On Mon
Inline below. -- Bert
On Mon, Dec 13, 2010 at 9:42 AM, Steve Sidney wrote:
> Thanks for the questions.
>
> 1) The data represents micro-organism counts and a count of zero in this
> case is highly unlikely given the info we have; including the other
> participants.
?? Censoring or an experiment
Thanks for the comments
Please see my reply to Stavros - the counts represent organisms and btw
both mean and the median are virtually unaffected by the removal of
these valuse.
Furthermore, experience rather than statistics indicates that these
values are in fact gross errors and as you of
Thanks for the questions.
1) The data represents micro-organism counts and a count of zero in
this case is highly unlikely given the info we have; including the other
participants.
2) The data is submitted in duplicate and then a standardised sum and
difference is established and is used to c
>>
>> Values to be ignored
>>
>> 0 - zero and 1 this is in addition to NA (null)
>>
>> The reason is that I need to use the log10 of the values when performing
>> the calculation.
>>
>> Currently I hand massage the data set, about a 100 values, of which less
>> than 5 to 10 are in this category.
>>
Steve Sidney mweb.co.za> writes:
>
> Dear list
>
> I have quite a small data set in which I need to have the following
> values ignored - not used when performing an analysis but they need to
> be included later in the report that I write.
>
> Can anyone help with a suggestion as to how this
Dear list
I have quite a small data set in which I need to have the following
values ignored - not used when performing an analysis but they need to
be included later in the report that I write.
Can anyone help with a suggestion as to how this can be accomplished
Values to be ignored
0 - ze
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