Hi,
For some reason I have been unable to use the predict function when I
desire the standard error to be calculated too. For example, when I try
the following:
l- loess(d~x+y, span=span, se=TRUE)
p- predict(l, se=TRUE)
I get the following error message:
Error in vector(double, length) :
On 05/04/2012 10:39 AM, David Winsemius wrote:
On May 3, 2012, at 7:10 PM, Saurav Pathak wrote:
Hi,
For some reason I have been unable to use the predict function when I
desire the standard error to be calculated too. For example, when I
try the following:
l- loess(d~x+y, span=span, se
Hi All,
I am trying to use loess to smooth a 2D image, and also obtain the
standard error for every pixel. I see that the standard error does not
make sense. For example, running the following:
library(stats)
x - array(c(1:100), dim=c(100,100))
y - t(x)
v - exp(-((x-50)^2+(y-50)^2)/30^2)
s
Hi All,
I am trying to trace the origin of the current loess implementation in
R. The reference mentions that Prof Ripley based it on the 1998 version
of dloess. When I look at dloess in http://www.netlib.org/a, the file
changes mentions dloess was made available in 1992 and that a memory
Hi,
We have been trying to use loess on 2D data (basically a matrix) in the
following way:
x - 1:256
y - 1:256
z - data # input from data
z.loess = loess(z ~ x + y)
We get a 256 x 1 vector of fitted values with a 256 x 256 array of
residuals,
but not a 256 x 256 array of fitted values.
because Stata is taking days and days to run gllamm
Kindly help
On Mon, Oct 19, 2009 at 2:19 PM, Ista Zahn istaz...@gmail.com wrote:
HI,
Please keep r-help copied on the reply -- hopefully someone will pick
up this thread and help us out.
On Mon, Oct 19, 2009 at 2:17 AM, saurav pathak
Dear R users
I have a data set which has five variables. One depenedent variable y, and 4
Independent variables (education-level, householdincome, countrygdp and
countrygdpsquare). The first two are data corresponding to the individual
and the next two coorespond to the country to which the
Dear R users
I have two questions, I have been on this problem for last 3 months, please
help
First question:
*How can I use the lmer function for a three level probit ( ie please help
me with the command syntax)?*
The second question is,
*how can I then subsequently calculate the Inverse
Dear R users
My data set is e
names(e)
[1] yearctry discent age gender
gemeduc gemhhinc ref_groupfearfail_ref knowent_ref
nbgoodc_ref
[11] nbstatus_ref estbbuso_ref lngdplngdpsq
es_gdppcppp sq_gdppcppp estbbo_m es_gdpchg
hear I have variables
Dear R saviors,
kindly address to this problem, I would really appreciate any takers. I am
trying to resolve this issue of IMR in clustered (multilevel)
cross-sectional panel data for more than two months now,.
The characteristics of my dataset are as follows:
- some 900 000 individuals
-
Hello all
I have been working to fix this for weeks now, It should be simple to fix.
Please help
Let me explain what I am doing, I have a data set for 65 countries over a
period of 9 years (2000-2008). Each country has on an average say 2000
interviews, so that the total set has roughly
Hi
I am working on a panel data, my data are clustered/grouped by the variable
yearctry, I am running the regression below, but I cant make the
regression recognise yearctry as the panel variable in the regression
myProbit- glm(s ~ age + gender + gemedu + gemhinc + es_gdppc +
imf_pop +
Hi
I have been trying so many different things to get my Inverse Mills Ratio
going for a Two stage Heckman Model, I have tried the following so far (the
commands are listed below till teh point where I get an error), I get an
error in the last sentence (marked in bold below), if this were
I have so far used the following command
glm(formula = s ~ age + gender + gemedu + gemhinc + es_gdppc +
imf_pop + estbbo_m, family = binomial(link = probit))
My question is
1. How do i discard the non significant selection variables (one out of the
seven variables above is non-significant)
Hi
I have two questions
1. I am working on a panel data, the variable *A *has some values as
missing denoted by . and others are non-missing values. I wish to
create another variable *B *from the variable *A *such that all the
missing values are assigned as ZERO (0) and all the non-missing
Hello
I am working on a panel data, my panel variable is the variable yearctry,
let me explain what I mean, yearctry is calculated based on the year and the
ISD phone code of a country, eg, for the year 2000 say and for country USA
say (code = 001), my yearctry variable will then be 201, there
I am typing the following on the command prompt:
variab = read.csv(file.choose(), header=T)
variab
It lists 900,000 ( this is the total number of observations in variab )
minus 797124 observations and prompts the following message
[ reached getOption(max.print) -- omitted 797124 entries ]]
Is
Hi
I am using Stata 10 and I need to import a data set in stata 10 to R, I
have saved the dataset in lower versions of Stata as well by using saveold
command in Stata.
My RAM is 4gb and the stata file is 600MB, I am getting an error message
which says :
Error: cannot allocate vector of
Hi
I have a stata data set (.dta file) of size 600 MB, I need to import it in
R and do a 2SLS multilevel analysis on the data set. I would eb grateful if
help is provided for the first part of how to import this big file from
Stata to R and then how to open the imported Stata file in R?
Kindly
Hi
I am using Stata 10 and I need to import a data set in stata 10 to R, I have
saved the dataset in lower versions of Stata as well by using saveold
command in Stata.
My RAM is 4gb and the stata file is 600MB, I am getting an error message
which says :
Error: cannot allocate vector of size 3.4
Hi
I have a stata data set (.dta file) of size 600 MB, I need to import it in
R and do a 2SLS multilevel analysis on the data set. I would eb grateful if
help is provided for the first part of how to import this big file from
Stata to R and then how to open the imported Stata file in R?
Kindly
Hi,
I cannot seem to figure out how to sum over an index of a array.
For example, let A be a 3 dimensional array. I want to, say, find
the sum over the first dimension. That is
S_jk = Sum_i A_ijk
where now S is a 2-dim matrix. I dont want to use a loop.
Thanks,
--
saurav
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