Thanks Henrik, that's it. Fwiw I found this old post too, I am still
surprised this doesn't seem to get used a lot(?). It's a "neat trick" for
row-wise binary, without compiled code.
http://cyclemumner.blogspot.com.au/2010/06/read-las-data-with-r.html?m=1
Also you should look at Paul Murrell's he
> On Sep 18, 2016, at 12:39 PM, mviljamaa wrote:
>
>> On Sep 18, 2016, at 11:01 AM, mviljamaa wrote:
>> Also if you, rather than doing what's done below, do:
>> fit3 <- lm(kidmomhsage$kid_score ~ kidmomhsage$mom_age + kidmomhsage$mom_hs
>> + kidmomhsage$mom_age * kidmomhsage$mom_hs)
>> Then th
On Sep 18, 2016, at 11:01 AM, mviljamaa wrote:
Also if you, rather than doing what's done below, do:
fit3 <- lm(kidmomhsage$kid_score ~ kidmomhsage$mom_age +
kidmomhsage$mom_hs + kidmomhsage$mom_age * kidmomhsage$mom_hs)
Then this gives the result:
Call:
lm(formula = kidmomhsage$kid_score ~
> On Sep 18, 2016, at 11:05 AM, Troels Ring wrote:
>
> dear friends - I have a problem in ggplot2 which I hope you can help me
> understand and solve.
>
> Running windows 7, R 3.2.1
>
> grp <- gl(3,4,12)
> trt <- gl(4,1,12)
> num <- c(11,1,0,0,6,2,0,0,1,9,10,10)
> MM <- data.frame(grp=grp,num
> On Sep 18, 2016, at 11:01 AM, mviljamaa wrote:
>
> Also if you, rather than doing what's done below, do:
>
> fit3 <- lm(kidmomhsage$kid_score ~ kidmomhsage$mom_age + kidmomhsage$mom_hs +
> kidmomhsage$mom_age * kidmomhsage$mom_hs)
>
> Then this gives the result:
>
> Call:
> lm(formula = ki
dear friends - I have a problem in ggplot2 which I hope you can help me
understand and solve.
Running windows 7, R 3.2.1
grp <- gl(3,4,12)
trt <- gl(4,1,12)
num <- c(11,1,0,0,6,2,0,0,1,9,10,10)
MM <- data.frame(grp=grp,num=num,trt=trt)
levels(MM$grp)<- c("anest1","anest2","anest3")
levels(MM$tr
Also if you, rather than doing what's done below, do:
fit3 <- lm(kidmomhsage$kid_score ~ kidmomhsage$mom_age +
kidmomhsage$mom_hs + kidmomhsage$mom_age * kidmomhsage$mom_hs)
Then this gives the result:
Call:
lm(formula = kidmomhsage$kid_score ~ kidmomhsage$mom_age +
kidmomhsage$mom_hs +
I'm trying to use interaction terms in lm and for the following types of
models:
fit3_hs <- lm(kidmomhsage$kid_score ~ kidmomhsage$mom_age +
kidmomhsage$mom_hs + kidmomhsage$mom_age * 1)
fit3_nohs <- lm(kidmomhsage$kid_score ~ kidmomhsage$mom_age +
kidmomhsage$mom_hs + kidmomhsage$mom_age * 0)
> On Sep 18, 2016, at 7:25 AM, mviljamaa wrote:
>
> What are the red line and cut line in lm's Residuals vs Fitted plot?
>
> As seen in e.g.:
>
> http://i.imgur.com/QvZ6oeT.png
R has a `plot.lm` function that is invoked by `plot(lm_object)` when
`lm_object` has a class of "lm". It produces m
I second Mike's proposal - it works, e.g.
https://github.com/HenrikBengtsson/affxparser/blob/5bf1a9162904c56d59c4735a8d7eb427e4f085e4/R/readCcg.R#L535-L583
Here's an outline. Say each row consists of tuple (=4-byte
integer, =4-byte float, ss=2 byte integer) so that the
byte-by-byte content
> Specifically my model has one response and two predictors, i.e. it's of the
> form
>
> Y = b_0+b_1*X_1+b_2*X_2
>
> Plotting the regression line for a single predictor model
>
> Y = b_0+b_1*X_1
>
> is simple enough, just call abline() with the coefficients returned by lm().
Single variable
I'm having a bit of trouble plotting the regression line of
multivariable linear model.
Specifically my model has one response and two predictors, i.e. it's of
the form
Y = b_0+b_1*X_1+b_2*X_2
Plotting the regression line for a single predictor model
Y = b_0+b_1*X_1
is simple enough, just
I would gladly examine your example, Mike.
Cheers,
Philippe
> Le 18 sept. 2016 à 16:05, Michael Sumner a écrit :
>
>
>
>> On Sun, 18 Sep 2016, 19:04 Philippe de Rochambeau wrote:
>> Please find below code that attempts to read ints, longs and floats from a
>> binary file (which is a simplifi
What are the red line and cut line in lm's Residuals vs Fitted plot?
As seen in e.g.:
http://i.imgur.com/QvZ6oeT.png
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the p
On Sun, 18 Sep 2016, 19:04 Philippe de Rochambeau wrote:
> Please find below code that attempts to read ints, longs and floats from a
> binary file (which is a simplification of my original program).
> Please disregard the R inefficiencies, such as using rbind, for now.
> I’ve also included Java
Please find below code that attempts to read ints, longs and floats from a
binary file (which is a simplification of my original program).
Please disregard the R inefficiencies, such as using rbind, for now.
I’ve also included Java code to generate the binary file.
The output shows that, at one po
The only difference between the below code and my program is that the former
assumes that the file only contains one row of 10 ints + 10 floats , whereas my
program doesn’t know in advance how many rows the file contains, unless it
downloads it first and computes the potential number of rows bas
Hi Jim,
this is exactly the answer I was look for. Many thanks. I didn’t R had a pack
function, as in PERL.
To answer your earlier question, I am trying to update legacy code to read a
binary file with unknown size, over a network, slice up it into rows each
containing an integer, an integer, a
18 matches
Mail list logo
