Dear Rusers,
When i start R, there always the following work to do first, how should i
cancel it?
*--- Please select a CRAN mirror for use in this session ---*
I don't know why it does so, maybe i have done something unintentionally.
Thanks.
--
With Kind Regards,
oooO:
(..)
Dear R users,
We have some programs for the specific task in our research, but they were
very commonly used. We want to make some functions for them, anybody can
recommend any good tools to facilitate us to create R functions even without
going deep into the theories of R functions ?
Any sugges
AIL PROTECTED]> wrote:
>
>
>
> zhijie zhang wrote:
> > Dear friends,
> > My R*C table is as follow:
> >
> >
> >
> > better
> >
> > good
> >
> > bad
> >
> > Goup1
> >
> > 16
> >
> > 71
>
Dear friends,
My R*C table is as follow:
better
good
bad
Goup1
16
71
37
Group2
0
4
61
Group3
1
6
57
Can I test if there are statistical significant between Group1 and
Group2, Group2 and Group3, Group1 and Group2, taking into the multiple
comparisons?
The table can be set up
Dear Friends,
I want to extract the records from A according to B, but the results are
not correct because R says :
The length of long object is not integer times on the length of short
object.
Anybody have met the same problem? How to do it correctly?
length(A)=47
length(B)=6
A[A$coords.x
Dear friends,
My dataset have many zeros, so i must use fisher exact test .
Unfortunately, the fisher.test(stats) function fail to do it.
Anybody knows how to do the fisher exact test with many zeros in the
dataset?
My dataset is:
a<-matrix(c(0,1,0,0,0,0,1,0,1,0,0,0,0,1,0,1,1,0,2,1,5,1,1,6,4,4,
Dear friends,
I need the get the 2.5% and 97.5% quantile from each row of a matrix, how
should i get it?
BTW, i can get the min/max value from each row of a matrix, using the
following programs, is there an easy function to do it?
simmin<-matrix(NA,nrow=47,ncol=1)
for (i in 1:47) {
simmin[
Dear Rusers,
I have met a difficult problem on explaining the differences of principal
component analysis(PCA) between R,S-PLUS and SAS/STATA/SPSS, which wasn't
met before.
Althought they have got the same eigenvalues, their coeffiecients were
different.
First, I list my results from R,S-P
Dear friends,
I want to do a unequal probability sampling, that is, Probability
Proportionate to size, Is it right for the following programs?
Say my original dataset is:
ID Population
1 100
2 200
3 300
IF the population is large ,then the corresponding ID has the large
Probabi
Dear Ruser,
Today, i download R2.4.0-win32.exe, but can't set it up successfully. The
error informaiton is :
*"0x38e4"memory quoted by "ox6c7f22b3" can't be "readonly".*
My operating system in WindowXP. Where goes wrong?
Thanks.
--
With Kind Regards,
oooO:
(..):
:\.(:::Ooo
Dear Ruser,
I use abline() function to add the reference line successfully, but i
can't display the values corresponding to the reference line on the x/y
axis, anybody knows how to display it?
*My simulated programs:*
y<-rnorm(50)
plot(x,y)
abline(v=0.5) *#my question is how to display x=0.5 i
anks again.
On 11/7/06, Uwe Ligges <[EMAIL PROTECTED]> wrote:
>
>
>
> zhijie zhang wrote:
> > Dear Rusers,
> > I want to know which function in R can perform the following tasks:
> > 1.surface-data grid(x,y,z) #which could be done in splus, the name was
> from
&g
Dear Rusers,
I want to know which function in R can perform the following tasks:
1.surface-data grid(x,y,z) #which could be done in splus, the name was from
splus's options of graph
2. contourplot(x,y,z) #which could be done in splus
By the way, where can i find some useful materials to lear
Dear friends,
I have three variables ,x,y and z, and i want to get two plots:
1.three-dimensionel plot: z is the vertical axis, x and y is on the same
horizontal plane;
2.contour plot:x is the horizontal axis, and y is vertical axis, and z is
used to plot the contour line.
I can't finish it ,a
Dear friends,
When i read the R-help , i often find the following case:
e.g.:surf.gls(np, covmod, x, y, z, nx = 1000, ...) #Package Spatial:
Arguments:
covmod: function to evaluate covariance or correlation function
* ...: parameters for 'covmod'*
How should i find the further inform
Dear friends,
when i use glm() to fit my data, i use
glm(formula = snail ~ vegtype + mhveg + humidity + elevation + soiltem, *family
= Gamma(link = inverse),* data =a,))
It shows: error in eval(expr, envir, enclos) : *gamma distribution don't
allow negative value*.
But i use
result<-glm(formula
*Richard M. Heiberger* ,
You have showed a detailed informaton on order, but it seems that there's
a little difference between my task and your suggestions.
I'd like to give a clear example to show my task:
x <- c(2, 9, 18, 3, 2)
y <- c(2,9,8,9,8)
z <- c(21,5,5,19,7)
a <- cbind(x, y, z) #dat
Dear friends,
I want to sort a dataset according to one or two variables in the dataset,
i thought sort could do it , but failed.
e.g.
x <- c(2, 9, 18, 3, 2)
y<-c(2,5.6,5,9,8)
z<-c(21,5,5,19,7)
a<-cbind(x,y,z)
a
x y z
[1,] 2 2.0 21
[2,] 9 5.6 5
[3,] 18 5.0 5
[4,] 3 9.0 19
[5,] 2 8
Dear friends,
As we all know, the usual model selection criteria(e.g.deviance,AIC...) in
GLMs isn't very good for selecting the best model when overdispersion exist,
so we need to adjust the corresponding statistic,see(Fitzmaurice,G.M.
(1997) Model selection with overdispersed
data,
The Statisti
Dear friends,
Both vcov(your.model) and summary(B)$cov.unscaled,summary(B)$cov.scaled
works, and vcov is the function that i'm looking for.
Thanks very much!
-
with kind regards
zhijie
[[alternative HTML version deleted]]
__
R-hel
Dear friends,
After fitting a generalized linear models ,i hope to get the variance of
alpha,variance of beta and their covariance, that is , the
variance-covariance matrix/information of alpha and beta , suppose *B* is
the object of GLMs, i use attributes(B) to look for the options ,but can't
f
*Marc Schwartz ,*
** Method2 is what i need, and they are good answers. A little more
question is how to add the legend to the plot? legend() may do it,but i fail
to add them.
Thanks again.
with kind regards
zhijie zhang
On 9/29/06, Marc Schwartz (via MN) <[EM
Dear friends,
I met a problem on plotting.
My dataset is :
yearMHBC LHBC MHRC LURC
1993 11.75 4.50 0.43 0.46
19947.25 1.25 0.35 0.51
19958.67 2.17 0.54 0.44
1996 2.67 1.33 0.78 0.47
1997 3.42 4.92 0.69 0.48
1998 1.92 3.08 0.72 0.54
1999 2.3
seems different between them(or it's also wrong for my simulated linear
model),i'm not very clear about them,thanks for a little more explanations
on them.
On 8/31/06, Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
>
> On Thu, 31 Aug 2006, zhijie zhang wrote:
>
> > Dear fr
+x2+x3+x4+x5+x6+x7+x8,
Thanks very much!
On 8/31/06, zhijie zhang <[EMAIL PROTECTED]> wrote:
>
> Dear friends,
> I'm doing a simulation on logistic regression model, but the programs
> can't work well,please help me to correct it and give some suggestions.
> My
Dear friends,
I'm doing a simulation on logistic regression model, but the programs can't
work well,please help me to correct it and give some suggestions.
My programs:
data<-matrix(rnorm(400),ncol=8) #sample size is 50
data<-data.frame(data)
names(data)<-c(paste("x",1:8,sep="")) #8 independent
Dear friends,
When i clean my dataset , i met a difficulty
suppose my data set is :
*> data<-data.frame(x=c(1:5,1,2,3))
> data
x
1 1
2 2
3 3
4 4
5 5*
6 1
7 2
8 3
Now i need to add the data which are less than 3.5 at the bottom, not
including the top data, so the results should be :
x
1 1
2 2
Dear friends,
suppose my dataset *xy* :
xy
1 5
2 3
5 6
6 8
-generated the data--
x<-c(1,2,5,6)
y<-c(5,3,6,8)
xy<-data.frame(x,y)
---
I want to fit the gap in x with the corresponding y=0, I use the following
programs to generate
Dear friends,
After running the lm() model, we can get summary resluts like the
following:
Coefficients:
Estimate Std. Error t value Pr(>|t|)
x1 0.115620.10994 1.052 0.2957
x2 -0.138790.09674 -1.435 0.1548
x3 0.010510.09862 0.107 0.9153
x4 0.141830.08471 1.674
Dear friends,
Suppose the correlation matrix of x1-x3 is as follows:
x1 x2 x3
x1 1
x2 0.51
x3 0.6 0.41
1.First, to generate the matrix of x1-x3 in R;
2.to get the random number: x1<-rnorm(10), is it enough to generate only the
x1-values? Do i need to generate x2 and x3?
3
Dear Rusers,
I want to compare the different methods of variable selction in
linear/logistic regression, so i want to generate simulated datasets, how to
do that?
e.g.
response variable:y
independent variables:x1-x4
residual item:e
the theoretical formula is: y=2.1+0.1*x1+0.2*x2
x3,x4 are not re
Dear friends,
In R, the help of "bic.glm" tells the difference between postmean(the
posterior mean of each coefficient from model averaging) and
condpostmean(the posterior mean of each coefficient conditional on the
variable being included in the model), But it's still unclear about the
results exp
Dear friends,
my question is how to aggregate dataset and the inverse manipulation.
e.g.My dataset
data structure1:
x
1
1
2
3
3
data structure2:
x freq
1 2
2 1
3 2
Then how to generate dataset2 from dataset1 and generate dataset1 from
dataset2?
e.g. dataset2 from dataset1 :
x<-c(1,1,2,3,3)
Dear friends,
Anybody knows how to fit the negative binomial distribution with MLE
using R or other software? I can't find the solution, any suggestions or
help would be greatly appreciated.
--
Kind Regards,
Zhi Jie,Zhang
[[alternative HTML version deleted]]
_
Dear Rusers,
The default behavior in R when performing a regression model with missing
values is to exclude any case that contains a
missing value? How could i set the bahavior that R deal with missing values?
e.g.:
exclude cases listwise
exclude cases pairwise
replace with mean
Thanks very much!
Dear Rusers,
The default behavior in R when performing a regression model with missing
values is to exclude any case that contains a
missing value? How could i set the bahavior that R deal with missing values?
e.g.:
exclude cases listwise
exclude cases pairwise
replace with mean
Thanks very much!
Dear friends,
I used R to analyze my data with the models of generalized linear models,
and found three models were relatively good, but i can't decide which is the
best,how should i do ?
*Model1:*
glm(formula = snail ~ grass + gheight + humidity + altitude + soiltem +
airtem + grass:altitude, *
Dear friends,
The "s" in the following argument don't have a variable name, how should i
give it a name?
> s<-data.frame(seq(1,6,by=2))
> s
seq.1..6..by...2.
1 1
2 3
3 5
thanks very much!
--
Kind Regards,
Zhi Jie,Zhang ,PHD
Department of Epidem
Dear friends,
suppose i have two datasets: A and B
A:
id<-1:6
x<-c(1,2,3,4,5,6)
y<-c(2,4,6,8,3,2)
xy<-data.frame(id,x,y)
B
m<-c(1,1,3,3,5,5)
n<-c(2,2,6,6,3,3)
mn<-data.frame(m,n)
Now, i want to perfomr two tasks:
1. get a subset of B,no duplicate values,:
C:
m n
1 2
3 6
5 3
2.Extract the values
Dear friends,
I used R and SAS to analyze my data through generalized linear model, and
there is some difference between them.
Results from R:
glm(formula = snail ~ grass + gheight + humidity + altitude + soiltemr +
airtemr, family = Gamma)
Deviance Residuals:
Min1QMedian
Dear friends,
--
Kind Regards,
Zhi Jie,Zhang ,PHD
Department of Epidemiology
School of Public Health
Fudan University
Tel:86-21-54237149
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__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailma
Dear friends,
suppose my dataset is the following data:
id<-1:9
x<-c(1,2,3,1,2,3,1,2,3)
y<-c(1,1,1,2,2,2,3,3,3)
data<-data.frame(id,x,y)
id x y
1 1 1 1
2 2 2 1
3 3 3 1
4 4 1 2
5 5 2 2
6 6 3 2
7 7 1 3
8 8 2 3
9 9 3 3
i want to do sampling like
Dear friends,
In gls() of nlme package, there is some explanation on correlation:
gls(model, data, correlation, weights, subset, method, na.action, control,
verbose)
correlation: an optional 'corStruct' object describing the within-group
correlation structure. See the documentation of
Dear friends,
summary() doesn't give a good ouput style,e.g.:
grasssoiltem airtem gheight
humidity altitude
diluo :38 Min. :15.90 Min. :17.70 Min. : 8.00 Min. :
0.2360 high: 43
huanghuacai:32 1st Qu.:19.32 1st Qu.:22.60 1st Qu.:40.00
Dear friends,
In s-plus, lm() generates the the studentized residuals
automatically for us, and In R, it seems don't have the results: After
i fitted lm(), i use attibutes() to see the objects and didn't find
studentized residuals .
How to get the the studentized residuals in lm(),have i missed
Dear Rusers,
My question is about "recode variables". First, i'd like to say
something about the idea of recoding:
My dataset have three variables:type,soiltem and airtem,which means
grass type, soil temperature and air temperature. As we all known, the
change of air temperature is greater than s
Dear friends,
i have a dataset like this:
x y z
1 2 3
2 3 1
3 2 1
1 1 3
2 1 2
3 2 3
2 1 1
I want to replace x with the following values:1<-a,2<-b,3<-c,4<-d;
replace y with the following values:1<-b,2<-a,3<-c,4<-d;
replace z with the following values:1<-d,2<-c,3<-b,4<-a;
Dear friends,
I searched the R site and found a lot of results on general linear model
and generalized linear model , and i was confused by them. Here, I only want
to get some concise answers on the following questions and i'll study it by
your hints:
1. Which function(package) could be used to
Dearfriends,
A question related with resale(). I have a dataset *a* with three
variables *x,y,id*
I want to do two different things:
1. rescale the combination of x and y into the new range --unit
square(0,1),that is, keep the shape of original plot;
2.rescale x and y into the new range (0,1)
Dearfriends,
A question related with resale(). I have a dataset *a* with three
variables *x,y,id*
I want to do two different things:
1. rescale the combination of x and y into the new range (0,1),that is, keep
the shape of original plot;
2.rescale x and y into the new range (0,1) respectively,
Dear Rusers,
Recently, i saw the sentence "rescale the data into unit square" for
several times. Could anybody tell me what it means,and give an example?
Thanks very much!
--
Kind Regards,
Zhi Jie,Zhang ,
[[alternative HTML version deleted]]
___
Dear friends,
suppose i want to do the following caulation for 100 times, how to put the
results of x , y and z into the same dataframe/dataset?
x<-runif(1)
y<-x+1
z<-x+y
thanks in advance!
--
Kind Regards,
Zhi Jie,Zhang ,PHD
Department of Epidemiology
School of Public Health
Fudan University
Dear friends,
suppose i want to do the following caulation for 100 times, how to put the
results of x , y and z into the same dataframe/dataset?
x<-runif(1)
y<-x+1
z<-x+y
thanks in advance!
--
Kind Regards,
Zhi Jie,Zhang ,PHD
Department of Epidemiology
School of Public Health
Fudan University
Te
Dear friends,
I have a dataset: response var--y, class var-group, and the third variable-x.
I want to test whether there is statistical significance bewteen
group for y with the controlled x. First, i want to use analysis of
covariance in SAS, but i found that y isn't noramal and can't become
nor
Dear Rusers,
As we all know , there are many methods to do multiple comparison in the
parametric statistical analysis, But i can't find some in nonparametric
statistical analysis.
Could anybody give some suggestions?
[[alternative HTML version deleted]]
_
Dear R-users,
I generate a dataset "d", and want to get a subset from it.
**
*z<-rnorm(9)
coords<-cbind(x=c(1,1,1,2,2,2,3,3,3),y=c(1,2,3,1,2,3,1,2,3))
d<-SpatialPointsDataFrame(coords, data.frame (z=z[1:9]))*
The result*/dataset* is
coordinates z
1 (1, 1) 1.41173570
2 (1, 2)
Dear friends,
I have a (20*30) matrix,and want to get a subset of it like the following:
The original matrix: rows:1,2,3,20; columns:1,2,3,30
I want to get my subset of The original matrix and delete others:
rows:1,3,5,7,...19; columns:1,3,5.29
--
Kind Regards,Zhi Jie,Zhang
Is there any method to compare Moran's I between different populations? As
we know, in classical statistics ,there are ttest,Anova,...which can be used
to compare means in different populations,so we can make a decision whether
their means are different or not. But spatial statistics seems not to
The attachment is my dataset:
1.ccc.shp (the original data)
2.ccc.gwt, which is computed by Geoda;
Introduction to the variables in my data:
ID: key variable;
N_LATITUDE: latitude measured by GPS;
E_LONGITUD: longitude measured by GPS;
LIVES: attribute data
I get the different result of Moran
Dear friends,
i have two dataset: A and B
A:
x y
1 2
3 4
B:
m n
1 2
7 8
How to generate datasetC:
C:
x n
1 2
3 8
i know sas can do it easily, what about R?
--
Kind Regards,
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz
I have read the introductions on Moran of SPDEP package, but still
unclear about the parameters of Moran's I, and can't calculate the
Moran's I.
For example,I have a dataset like the following(only an example):
longitude latitudex
110.23 32.53 10
109.52 33.2120
there are several specific Special Interest Group (=: SIG) mailing
lists,and i'm interested in the"R-sig-Geo :R Special Interest Group on
using Geographical data and Mapping ",but can't find how to join it,
could anybody tell me how to do that? thank u very much!
--
Kind Regards,Zhi Jie,Zhang ,
hi,friends,
we all know that moran's I index and Geary'C index can be used to test
spatial autocorrelation in both the area data and point data, but i only can
find something on how to calculate on the data of area, and can't find the
methods to perform it on the point data, could anybody give me
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