Dear All,
Thanks for all your explanations and sorry for the confusion. I will
need to consult some statistician for help.
Sincerely,
Li Sun
2012/6/24 S Ellison :
>
>
>>> But what if x is exact while y has some uncertainty Δy, in the
>>> relation y = k * x + b?
>>
>>Again, no: this is not a li
>> But what if x is exact while y has some uncertainty Δy, in the
>> relation y = k * x + b?
>
>Again, no: this is not a linear model. Assumption in a linear model is
>that the errors are identically distributed.
Surely not; errors in a linear model do not need to be homoscedastic. lm
handles h
Dear Li Sun:
You appear to have a good deal of statistical confusion. R-help is not a
statistical consulting service. You should consult a local statistician or,
if that's not possible,post on a statistical help list like
stats.stackexchange.com
-- Bert
On Sun, Jun 24, 2012 at 12:04 PM, Li SUN
2012/6/24 Uwe Ligges :
>
>
> On 24.06.2012 20:35, Li SUN wrote:
>>
>> Thanks David and Brian.
>>
>> But what if x is exact while y has some uncertainty Δy, in the
>> relation y = k * x + b?
>>
>> Now I need to fit some data like
>> x = 1, 2, 3, 4, 5
>> y±Δy
On 24.06.2012 20:35, Li SUN wrote:
Thanks David and Brian.
But what if x is exact while y has some uncertainty Δy, in the
relation y = k * x + b?
Now I need to fit some data like
x = 1, 2, 3, 4, 5
y±Δy = 1.1±0.1, 2.0±0.2, 3.1±0.2, 4.1±0.1, 5.0±0.2
Is
Thanks David and Brian.
But what if x is exact while y has some uncertainty Δy, in the
relation y = k * x + b?
Now I need to fit some data like
x = 1, 2, 3, 4, 5
y±Δy = 1.1±0.1, 2.0±0.2, 3.1±0.2, 4.1±0.1, 5.0±0.2
Is there any mechanism to pass x, y and Δ
On 24/06/2012 18:39, David Winsemius wrote:
On Jun 24, 2012, at 1:21 PM, Li SUN wrote:
Sorry for the confusion.
Let me state the question again. I missed something in my original
statement.
When using the linear model lm() to fit data of the form y = k * x +
b, where k, b are the coefficient
On Jun 24, 2012, at 1:21 PM, Li SUN wrote:
Sorry for the confusion.
Let me state the question again. I missed something in my original
statement.
When using the linear model lm() to fit data of the form y = k * x +
b, where k, b are the coefficients to be found, and x is the variable
and h
Sorry for the confusion.
Let me state the question again. I missed something in my original statement.
When using the linear model lm() to fit data of the form y = k * x +
b, where k, b are the coefficients to be found, and x is the variable
and has an error bar (uncertainty) Δx of the same lengt
On 24.06.2012 17:47, Li SUN wrote:
Hi All,
when using the linear model lm() to fit data of the form y = k * x +
b, is it possible to know the p-value for the parameters k and b? i.e.
can we find the result of the form (k, Δk; b, Δb)?
If you explain what Δk means in a linear model, we may be
Hi All,
when using the linear model lm() to fit data of the form y = k * x +
b, is it possible to know the p-value for the parameters k and b? i.e.
can we find the result of the form (k, Δk; b, Δb)?
Thanks in advance!
Li Sun
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