Hi Piotr,
On 03/31/2017 11:16 AM, Piotr Koller wrote:
Hi, I'd like to create a function that will sort values of a vector on a
given basis:
-zeros
-ones
-numbers divisible by 2
-numbers divisible by 3 (but not by 2)
-numbers divisible by 5 (but not by 2 and 3)
In other words, you want to
Piotr - keep discussions on-list please.
I generally do not open attachments to eMails.
You are misinterpreting the results:
0: 0
1: 1
2: 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30
3: 3 9 15 21 27 (all even multiples of 3 have been sorted with 2)
5: 5 25 (10, 20, 30 are sorted as
This looks opaque and hard to maintain.
It seems to me that a better strategy is to subset your vector with modulo
expressions, use a normal sort on each of the subsets, and add the result to
each other. 0 and 1 need to be special-cased.
myPrimes <- c(2, 3, 5)
mySource <- sample(0:10)
#
Hi, I'd like to create a function that will sort values of a vector on a
given basis:
-zeros
-ones
-numbers divisible by 2
-numbers divisible by 3 (but not by 2)
-numbers divisible by 5 (but not by 2 and 3)
etc.
I also want to omit zeros in those turns. So when I have a given vector of
Subject: [R] Variation Inflation factor for GLS
Dear all,
I am running a gls and I would like to check the vif of my model. It
seems that the vif function in the car package and the vif.mer function
available online do not work for gls. Would you know of a method to
measure variance
Dear all,
I am running a gls and I would like to check the vif of my model. It seems that
the vif function in the car package and the vif.mer function available online
do not work for gls. Would you know of a method to measure variance inflation
factors for GLS?
Thank you
Laura
Dear Laura,
There is no car::vif() method for gls objects, but the approach that
car:::vif.lm() uses -- to compute VIFs (and generalized VIFs) from the
correlation matrix of the coefficients -- should be applicable to models fit by
gls().
I'll take a look a providing a vif.gls() method when I
Hi folks,
I use lm to run regression and I don't know how to predict dependent
variable based on the model.
I used predict.lm(model, newdata=80), but it gave me warnings.
Also, how can I get the variance of dependent variable based on model.
Thanks.
[[alternative HTML version deleted]]
Hi,
Try this:
# using the iris dataset
mydat - iris
mymodel - lm(Sepal.Length ~ Petal.Length + Species, data = mydat)
summary(mymodel)
newdat - data.frame(Petal.Length = seq(1, 10, by = .1),
Species = factor(rep(virginica, 91)))
results - predict(object = mymodel, newdata =
Thanks Josh.
The variance of predictor should be var(beta_0+beta_1*newdata+epsilon). It
is actually the variance of dependent variable if we plug the concrete value
of independent variable into the model.
On Mon, Sep 27, 2010 at 2:09 PM, Joshua Wiley jwiley.ps...@gmail.comwrote:
Hi,
Try
Is there a more efficient/elegant way to obtain the result z below.
a - c('pink','pink','blue','blue','gold','gold')
b - c(5,8,9,12,7,4)
agg - aggregate(x=b,by=list(a), FUN='mean')
m - match(a, agg[,1])
z - agg[m,2]
z
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On Fri, Aug 13, 2010 at 12:26 PM, Eva Nordstrom eva.nordst...@yahoo.com wrote:
Is there a more efficient/elegant way to obtain the result z below.
a - c('pink','pink','blue','blue','gold','gold')
b - c(5,8,9,12,7,4)
agg - aggregate(x=b,by=list(a), FUN='mean')
m - match(a, agg[,1])
z -
Hi list
I am a new user of R. I ask for some beginner question
I am searching if there is any function that computes the variation of some
discrete values of a vector (mean() and sd() exists, but i have not find
variation).
Thanks in advance
Adel
--
PhD candidate in Computer Science
Address
What exactly do you mean by variation? As I understand it, this term
is a broad term for all kinds of different spread measures (like
quantile range or standard deviation). Do you mean the Coefficient of
Variation? If you found out how to compute the mean and the std.dev., it
is
2010/6/5 Jannis bt_jan...@yahoo.de
What exactly do you mean by variation? As I understand it, this term is a
broad term for all kinds of different spread measures (like quantile range
or standard deviation). Do you mean the Coefficient of Variation? If you
found out how to
Yes, that what I
2010/6/5 Adel ESSAFI adel.s...@imag.fr
2010/6/5 Jannis bt_jan...@yahoo.de
What exactly do you mean by variation? As I understand it, this term is a
broad term for all kinds of different spread measures (like quantile range
or standard deviation). Do you mean the Coefficient of Variation?
As far as I know there is no such function (i could be wrong here!). The
reason for that might be that it is so straightforward to calculate it
as the ratio of sd() and mean()for similar reasons there is most
probably no function for the variance (and only one for std.dev)I
would think
Sorry, my remark about the variance and standard deviation was nonsense!
There are functions for both measures in R!
Jannis
Jannis schrieb:
As far as I know there is no such function (i could be wrong here!). The
reason for that might be that it is so straightforward to calculate it
as the
?var perhaps
--- On Sat, 6/5/10, Adel ESSAFI adel.s...@imag.fr wrote:
From: Adel ESSAFI adel.s...@imag.fr
Subject: Re: [R] variation
To: r-help@r-project.org
Received: Saturday, June 5, 2010, 7:57 AM
2010/6/5 Jannis bt_jan...@yahoo.de
What exactly do you mean by variation? As I
Hello,
Could you please tell me wether there is any function in R that tell me how
many subgroup in one variable I have? So for example if my data are
x - c(rnorm(50,50,3),rgamma(50,2,1),runif(50,0,1))
I want to know how many group I have?
Many thank in advance,
Samuel
--- On Thu, 9/17/09,
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