Hi Xiyan,
I have to admit that your puzzle very nearly stumped me. At first I
thought the question was:
"What are the numbers of rows with changed and unchanged class values?"
That doesn't work as there are at most four rows and your answer sums
to five. I then tried:
"How many times does at lea
Hi r-help, I've been having some issues serializing large objects over a
socket. I can reproduce the issue with the following two instances:
Instance 1:
> conn <- socketConnection("localhost", 34533, server = TRUE, open = "w+b")
> for (i in 1:10) { serialize(1:2e9, conn) }
Instance 2:
> conn <- s
John Kane
Kingston ON Canada
-Original Message-
From: gunter.ber...@gene.com
Sent: Tue, 19 May 2015 20:04:58 -0700
To: jrkrid...@inbox.com
Subject: Re: [R] Count unchanged class attribute
Probably "or what."
This demonstrates a fundamental conundrum: many users or prospective users of R
Probably "or what."
This demonstrates a fundamental conundrum: many users or prospective users
of R have had little exposure to data structures in their formal education
and therefore can be flummoxed by R's fussiness -- as any programming
language must necessarily be. Consider: data frames, matri
Is this a list of data.frames or what?
Please have a look at one or both of these for some ideas of how to ask a
question and provide information on the problem. The better you can describe
what you have and what you need the better people can help.
http://stackoverflow.com/questions/5963269/ho
On 20/05/15 04:37, Soe Xiyan wrote:
Maybe someone can help me.
Suppose I have data-set like this:
Netto Bruto class
1 10 1000yes
2 100 20 yes
Netto Bruto class
1 101 1000yes
2 100 210 no
Netto Bruto class
1 10 10 yes
2 12 28
Technically it is not on topic to discuss the statistics behind R calculations
here, and certainly not our job to do so within the context of your educational
institution's schedule. However, you have the power to read the source code of
any function in R or contributed packages, so go for it. J
If nothing suggested in this thread help I'd suggest asking in R-sig-Geo where
they will be more familiar with the issues.
Please do not post in HTML. It can serious mangle code to the point it is
indecipherable.
John Kane
Kingston ON Canada
-Original Message-
From: johnwas...@gmail
On Tue, May 19, 2015 at 1:23 PM, michael westphal via R-help
wrote:
You can't compare them (statistically -- you can of course draw
pictures). Note, from ?rlm:
" Note that the df.residual component is deliberately set to NA to
avoid inappropriate estimation of the residual scale from the residua
Hello:
I am using R 3.0.2.
I have panel data on countries' renewable energy net generation (and installed
capacity) over time. I am regressing these dependent variables on various
socioeconomic variables, as well as binary policy variables. I have have done
basic OLS, but I wanted to explore
Hi :)
I have an an examination tomorrow, and don't quite understand how R calculated
the values.
Yes. You are right R^2=0.02166 :)
As mentioned It is a dummy variable model with the 5 regions of Denmark as 4
independent dummy variables and price as the dependent variable.
price = 10.325 -
Hello,
I am using the RJDBC library to connect to a SQL database and pull out text
that includes Hebrew characters. If I do this on a Mac, the data frames I
construct display the characters properly. If I do it on a Windows PC, then
the characters are converted to strings like this:
I have tri
Maybe someone can help me.
Suppose I have data-set like this:
Netto Bruto class
1 10 1000yes
2 100 20 yes
Netto Bruto class
1 101 1000yes
2 100 210 no
Netto Bruto class
1 10 10 yes
2 12 28 yes
3 100 20 yes
Netto
Dear all,
I am kindly requesting for help on how I can count pixels with value less
and equal to -0.08 for a raster stack.
Thanks for your help
John
On Tue, May 19, 2015 at 5:57 PM, John Kane wrote:
> And another approach just for the heck of it.
>
> library(plyr)
>
> # where dat1 is your dat
And another approach just for the heck of it.
library(plyr)
# where dat1 is your data
dd1 <- subset(dat1, Rain >= .01)
dd1$Year <- as.factor(dd1$Year)
dd1$Month <- as.factor(dd1$Month)
count (dd1, .(Year, Month))
John Kane
Kingston ON Canada
> -Original Message-
> From: hafiz
Here's an approach using xtabs() if you want the output as a table:
> flag <- as.integer(d$Rain>=.1)
> xtabs(flag~Year+Month, d)
Month
Year1 2
1971 12 0
-
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-43
Dear Arshad,
Here is a possibility using tapply():
with(d, tapply(Rain, list(Month, Year), function(x) sum(x > .1)))
##1971
#1 12
#20
where "d" is your data.frame(). See also ?aggregate and ?ave.
Best,
Jorge.-
On Tue, May 19, 2015 at 8:10 PM, Hafizuddin Arshad <
hafizuddinarsha...@gm
Dear R users,
Could someone help me on this? I have this kind of data set:
structure(list(Year = c(1971L, 1971L, 1971L, 1971L, 1971L, 1971L,
1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L,
1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L,
1971L, 1971L, 1971L, 1971L, 19
Dear Yonas,
It usually takes some time until a Windows binary version is available
on R-Forge. It is version 0.61 you want here.
So, you can either install the source version using
> install.packages("ca", repos="http://R-Forge.R-project.org";,
type="source")
or manually download and install
Dear Oleg,
Thank you so much for your advice! But I tried to update the packages and
check whether the problem is fixed. But I end up with the same error.
Error in dimnames(phi) <- list(rn, dims) :
length of 'dimnames' [2] not equal to array extent
It seems to me that, what I got to update from
Most of the stochastic optimization methods are directed at multiple
optima. You appear to have an imprecisely determined function e.g., time
taken for racing driver to get round the track, and indeed this is a
different form of stochastic optimization.
With Harry Joe of UBC I did quite a bit of w
Hi Livia,
You seem to have mixed up the residual error with the R^2, which is
just over 0.02. The bottom line on your summary table says that the
obtained F statistic was equal to 1894 (this has been truncated to
four significant places). The probability of obtaining that value with
your data given
Hi guys
I have a statistical question to an analyse I ran in R. It is a dummy variable
model with the 5 regions of Denmark as 4 independent dummy variables and price
as the dependent variable:
price = 10.325 - 0.176*Sjaeland - 0.368 * NJylland - 0.230*MJylland - 0.120*
Syddanmark
I understan
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