Inline
> On 2019-05-19, at 18:11, Michael Boulineau
> wrote:
>
> For context:
>
>> In gsub(b, "\\1<\\2> ", a) the work is done by the backreferences \\1 and
>> \\2. The expression says:
>> Substitute ALL of the match with the first captured expression, then " <",
>> then the second
For context:
> In gsub(b, "\\1<\\2> ", a) the work is done by the backreferences \\1 and
> \\2. The expression says:
> Substitute ALL of the match with the first captured expression, then " <",
> then the second captured expression, then "> ". The rest of the line is >not
> substituted and
Inline ...
> On 2019-05-19, at 13:56, Michael Boulineau
> wrote:
>
>> b <- "^([0-9-]{10} [0-9:]{8} )[*]{3} (\\w+ \\w+)"
>
> so the ^ signals that the regex BEGINS with a number (that could be
> any number, 0-9) that is only 10 characters long (then there's the
> dash in there, too, with the
My mental model for such a simulation is that you create data from a known
distribution, then use your model to check that you can recover the known
parameters from the data. Thus how the marks are created depends on what
influences them. Here is a toy model to illustrate this - expanding on my
> b <- "^([0-9-]{10} [0-9:]{8} )[*]{3} (\\w+ \\w+)"
so the ^ signals that the regex BEGINS with a number (that could be
any number, 0-9) that is only 10 characters long (then there's the
dash in there, too, with the 0-9-, which I assume enabled the regex to
grab the - that's between the numbers
Dear Boris,
Great But what about Mark in your R code ? Don't we have to precise in the
R code that mark ranges between 1 to 6 (1 ; 1.5 ; 2 ; 2.5 ; 3 ; 3.5 ; 4 ; 4.5 ;
5 ; 5.5 ; 6) ?
By the way, to fit a linear mixed model, I use lme4 package and then the lmer
function works with the
Fair enough - there are additional assumptions needed, which I make as follows:
- each class has the same size
- each teacher teaches the same number of classes
- the number of boys and girls is random within a class
- there are 60% girls (just for illustration that it does not have to
Estimados integrantes de la lista.
Disculpas por posteo cruzado.
Estoy ajustando un modelo con lmer (lm4).
La variable respuesta es un índice (ADI) que se midió en 3 áreas diferentes
en 4 estaciones climáticas diferentes, así mis efectos fijos son area y
estaciones climáticas.
Cada área tiene
Many thanks to all of you for your responses.
So, I will try to be clearer with a larger example. Te end of my mail is the
more important to understand what I am trying to do. I am trying to simulate
data to fit a linear mixed model (nested not crossed). More precisely, I would
love to get at
Inline
> On 2019-05-18, at 20:34, Michael Boulineau
> wrote:
>
> It appears to have worked, although there were three little quirks.
> The ; close(con); rm(con) didn't work for me; the first row of the
> data.frame was all NAs, when all was said and done;
You will get NAs for lines that
Good morning, I will head your advice, good to know, thank you Peter.
WHP
From: peter dalgaard
Sent: Saturday, May 18, 2019 4:44 AM
To: Bill Poling
Cc: Marc Schwartz ; R-help
Subject: Re: [R] Help understanding the relationship between R-3.6.0 and RStudio
Actually, you might go for
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