Re: [Rd] Discourage the weights= option of lm with summarized data

2017-12-03 Thread peter dalgaard
t;>>> Best, >>>>>> Wolfgang >>>>>> >>>>>> -Original Message- >>>>>> From: R-devel [mailto:r-devel-boun...@r-project.org] On Behalf Of Arie >>>>>> ten Cate >>>>>> Sent: Sunda

Re: [Rd] Discourage the weights= option of lm with summarized data

2017-12-03 Thread Arie ten Cate
; Arie >>>> >>>> On Sun, Oct 8, 2017 at 4:38 PM, Viechtbauer Wolfgang (SP) >>>> wrote: >>>>> Ah, I think you are referring to this part from ?lm: >>>>> >>>>> "(including the case that there are w_i observations equ

Re: [Rd] Discourage the weights= option of lm with summarized data

2017-11-28 Thread peter dalgaard
is is what 'weights' should be used for >>>> (the other part before that is correct). Sorry, I misunderstood the point >>>> you were trying to make. >>>> >>>> Best, >>>> Wolfgang >>>> >>>> -O

Re: [Rd] Discourage the weights= option of lm with summarized data

2017-11-28 Thread peter dalgaard
M, Viechtbauer Wolfgang (SP) >>>> wrote: >>>>> Ah, I think you are referring to this part from ?lm: >>>>> >>>>> "(including the case that there are w_i observations equal to y_i and the >>>>> data have been summarized)&

Re: [Rd] Discourage the weights= option of lm with summarized data

2017-11-28 Thread Arie ten Cate
;>> data have been summarized)" >>>> >>>> I see; indeed, I don't think this is what 'weights' should be used for >>>> (the other part before that is correct). Sorry, I misunderstood the point >>>> you were trying to make. >&

Re: [Rd] Discourage the weights= option of lm with summarized data

2017-10-12 Thread Arie ten Cate
; Using 'weights' is not meant to indicate that the same observation is >>> repeated 'n' times. It is meant to indicate different variances (or to >>> be precise, that the variance of the last observation in 'x' is >>> sigma^2 / n, while the

Re: [Rd] Discourage the weights= option of lm with summarized data

2017-10-09 Thread peter dalgaard
t; -Original Message- >> From: R-devel [mailto:r-devel-boun...@r-project.org] On Behalf Of Arie ten >> Cate >> Sent: Sunday, 08 October, 2017 14:55 >> To: r-devel@r-project.org >> Subject: [Rd] Discourage the weights= option of lm with summarized data >>

Re: [Rd] Discourage the weights= option of lm with summarized data

2017-10-08 Thread Arie ten Cate
t; > Best, > Wolfgang > > -Original Message- > From: R-devel [mailto:r-devel-boun...@r-project.org] On Behalf Of Arie ten > Cate > Sent: Sunday, 08 October, 2017 14:55 > To: r-devel@r-project.org > Subject: [Rd] Discourage the weights= option of lm with summarized

Re: [Rd] Discourage the weights= option of lm with summarized data

2017-10-08 Thread Viechtbauer Wolfgang (SP)
orry, I misunderstood the point you were trying to make. Best, Wolfgang -Original Message- From: R-devel [mailto:r-devel-boun...@r-project.org] On Behalf Of Arie ten Cate Sent: Sunday, 08 October, 2017 14:55 To: r-devel@r-project.org Subject: [Rd] Discourage the weights= option of lm wit

[Rd] Discourage the weights= option of lm with summarized data

2017-10-08 Thread Arie ten Cate
rvation in 'x' is sigma^2 / n, while the first three observations have variance sigma^2). Best, Wolfgang -Original Message- From: R-devel [mailto:r-devel-boun...@r-project.org] On Behalf Of Arie ten Cate Sent: Saturday, 07 October, 2017 9:36 To: r-devel@r-project.org Subje

Re: [Rd] Discourage the weights= option of lm with summarized data

2017-10-07 Thread Viechtbauer Wolfgang (SP)
ance sigma^2). Best, Wolfgang -Original Message- From: R-devel [mailto:r-devel-boun...@r-project.org] On Behalf Of Arie ten Cate Sent: Saturday, 07 October, 2017 9:36 To: r-devel@r-project.org Subject: [Rd] Discourage the weights= option of lm with summarized data In the Details sectio

[Rd] Discourage the weights= option of lm with summarized data

2017-10-07 Thread Arie ten Cate
In the Details section of lm (linear models) in the Reference manual, it is suggested to use the weights= option for summarized data. This must be discouraged rather than encouraged. The motivation for this is as follows. With summarized data the standard errors get smaller with increasing numbers