Thank you very much !
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In the description section of the RPostgreSQL package documentation, it
states:
"In order to build and install this package from source, PostgreSQL itself
must be present your system to provide PostgreSQL functionality via its
libraries and header files. . . . On Microsoft Windows system the atta
On 14-01-31 5:09 PM, Rolf Turner wrote:
On 01/02/14 08:13, Duncan Murdoch wrote:
On 31/01/2014 1:46 PM, Paul A. Steckler wrote:
I'm fairly new to R, and have checked the R FAQ and done an
RSiteSearch for help
on this topic, to no avail.
I want to write some R code that has functions at the top
Yihui/Jeff,
I'm trying to determine where the default CSS file is located as I don't
see this in any of the documentation. I can definitely find a markdwon.css
file in C:\Program Files\RStudio\resources
I also see an R.css file in that directory.
I also have R.css in C:\Users\jeffjohn\Dropbox\R
I think you will find that using namespaces and export directives are
a better way of controlling visibility with packages. That is their
intended purpose.
Cheers,
Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not knowledge. And know
Pot, meet kettle. You claim to be able to read documentation, yet you don't
reference knowledge gained or clarity lost from such activity in your question.
I think this is a case of inertia of history that we all have to live with at
this point. If you thoroughly read the documentation for ?sapp
> I can read the documentation, I see why it happens, but who in their right
> mind would design a function this way? Can you imagine how many bugs are
> lurking because people haven't yet hit the right set of input that is going
> to cause sapply() to return a list instead of a matrix().
If you
Thanks for the suggestions.
I'm going to need to create an R package, eventually, so I'll use that
mechanism to control visibility.
-- Paul
On Fri, Jan 31, 2014 at 11:13 AM, Duncan Murdoch
wrote:
> On 31/01/2014 1:46 PM, Paul A. Steckler wrote:
>>
>> I'm fairly new to R, and have checked the R
Hey thanks for the helpful snark, Bert.
To everyone else, I apologize for neglecting to actually include the
examples.
a <- function(i) { list(1) }
b <- function(i) { list(1,2) }
ll <- sapply(seq(3), a, simplfy="list")
mm <- sapply(seq(3), b)
class(ll)
class(mm)
> class(ll)
[1] "list"
> class(mm)
On 01/02/14 08:13, Duncan Murdoch wrote:
On 31/01/2014 1:46 PM, Paul A. Steckler wrote:
I'm fairly new to R, and have checked the R FAQ and done an
RSiteSearch for help
on this topic, to no avail.
I want to write some R code that has functions at the top-level that
are not visible when
the code
As you ignored the posting guide and posted in HTML, your "below"
didn't get through. So one can only guess that it has something to do
with (see ?sapply)
"Simplification in sapply is only attempted if X has length greater
than zero and if the return values from all elements of X are all of
the sa
Can anyone suggest a rationale for why sapply() returns different types
(list and matrix) in the two examples below? Is there any way to get
sapply() or any other apply() function to return a matrix in both cases?
simplify=TRUE doesn't change the outcome.
I understand why it is happening, I just
Here is one way by just truncating your data to integers based on what
you are doing:
> # create some test data
> n <- 1000
> G <- data.frame(Lat = runif(n, 38, 50), Long = runif(n, -72, -65))
> # add a 'key' for segment - based on truncating data
> G$key <- paste(as.integer(G$Lat), as.integer(G$L
The standard way to do this is to use the cut function to define group
categories, and then manipulate data in lists of subsets using lapply function
and relatives. There are also tools such as the plyr package, data.table
package, sqldf package, and the new dplyr package.
If you want more expl
Hello,
I'm trying to subet my data based on long/lat. I have written a for loop
however I am not sure how to get R to name all my subsets different things.
Here is my code so far...
for(i in 0:31){
latl=38+(i*1)
latu=39+(i*1)
for(j in 0:33){
longl=(-72)+(j*1)
longu=(-71)+(j*1)
G$i$j<-subset(G, La
Try reading the R Spatial Task View:
http://cran.r-project.org/web/views/Spatial.html
or this brilliant intro, and other files in that github repository:
https://github.com/Robinlovelace/Creating-maps-in-R/blob/master/intro-spatial.md
or any of the tutorials I've written on the subject!
Barry
On 01/31/2014 08:58 PM, 李德磊 wrote:
> Hello everyone,
> I have no idea how to plotting points over a map using R, in which the colors
> of the points stand for the points' value. I'd like to get a map as shown in
> attachment picture which was plotted using matlab. Does anyone know how to do
> it
Hi,
Not sure if this is what you wanted:
t.control=function(m, a){(1-exp(-a*m)*((1-(1/30))*m))}
t.sham=function(m, a, d){(1-exp(-a*(1-d)*m)*((1-(1/30))*m))}
t.control(2,2)
#[1] 0.9645898
t.sham(2,2,0.1)
#[1] 0.9471741
A.K.
On Friday, January 31, 2014 12:29 PM, Mathew Nagendran
wrote:
Hello
On 31/01/2014 1:46 PM, Paul A. Steckler wrote:
I'm fairly new to R, and have checked the R FAQ and done an RSiteSearch for help
on this topic, to no avail.
I want to write some R code that has functions at the top-level that
are not visible when
the code is loaded. So in
fun1 <- function(...
On 31/01/2014 12:29 PM, Mathew Nagendran wrote:
Hello everyone. I am quite new to R and I would appreciate some help in
figuring out what I am doing wrong.
For the following code:
> #with cost
>
> m.control=c(1.45,9.40,9.96,4.2,1.86,0.2)
> m.sham=c(3.39,23.94,23.62,10.08,2.99,1.09)
>
> t.contr
After moving the R installation tree, I modified the "R" script with a new
RHOME value, and it worked. There seems a hard coded RHOME in Rscript, which is
a binary file. Is there a way to regenerate the Rscript file for the new
location, without re-installing the whole thing?
Jun
[[alt
After moving the R installation tree, I modified the "R" script with a new
RHOME value, and it worked. There seems a hard coded RHOME in Rscript, which is
a binary file. Is there a way to regenerate the Rscript file for the new
location, without re-installing the whole thing?
Jun
[[alt
Dear community,
I am replicating a paper (The Effect of Structures and Power on State
Bargaining Strategies, http://tinyurl.com/oyk289c) for a class project.
The author used “gologit” in STATA, and I need the equivalent function
in R. She used a “Generalized Ordered Logit” (see below model
de
Hello everyone. I am quite new to R and I would appreciate some help in
figuring out what I am doing wrong.
For the following code:
> #with cost
>
> m.control=c(1.45,9.40,9.96,4.2,1.86,0.2)
> m.sham=c(3.39,23.94,23.62,10.08,2.99,1.09)
>
> t.control=function(m, a){(1-exp(-a*m)*(1-(1/30)*m))}
> t.
On Saturday, January 18, 2014 9:20 PM, nelsonsibbs78
wrote:
Can you pliz send me the R code for estimating parameters of a 2 phase
distribution given some data to fit. Im nelson sibanda , a final year student
at Nust
[[alternative HTML version deleted]]
___
I'm fairly new to R, and have checked the R FAQ and done an RSiteSearch for help
on this topic, to no avail.
I want to write some R code that has functions at the top-level that
are not visible when
the code is loaded. So in
fun1 <- function(...) { ... }
fun2 <- function(...) { ... fun1 ..
The ggmap package
(http://journal.r-project.org/archive/2013-1/kahle-wickham.pdf) is
also quite good.
Best,
Ista
On Fri, Jan 31, 2014 at 6:23 AM, Mohammed Ouassou
wrote:
> library(RgoogleMaps); # download a static map from the Google server
> library(geomapdata);# Topographic and Geologic
You may also introduce ARMA errors in negative binomial regression via Gaussian
copulas. The following webpage illustrates how to use the package gcmr
("Gaussian Copula Marginal Regression") for fitting negative binomial
regression model with ARMA(2,1) errors:
http://cristianovarin.weebly.com/
Hi Katharina,
Could you try upgrading to mgcv_1.7-28, please? There was an occasional
problem to do with matching factor levels, which is fixed, but I'm not
very confident that is what is going on.
If upgrading doesn't work, is there any chance you could send me a small
example dataset and c
Dear all,
I am estimating a model with instrumental variables using ivreg() (from the
"AER" library). When the regressors and the instruments are limited to
continuous variables, things work fine.
However, I have some regressors, such as "income", for which I only have
categorical data (very l
library(RgoogleMaps); # download a static map from the Google server
library(geomapdata);# Topographic and Geologic Mapping
lbrary(PBSmapping); # Draw Maps and Implement Other GIS Procedures
STEP1:
my_map = GetMap(center=my_center, zoom =my_zoom ,
destfile=my_out_file ,ma
Dear Agapitus,
we do not know what your variables look like but I assume ((zlim[2] -
z_invDist)/zlen) * 7 produces a vector with both positive and negative
numbert and you are using these numbers to extract elements of an other vector.
If the numbers were all positive or negative, it would
Help Please. Iam drawing a plot i R_Studio but consistently get this error:
Error in colorlut2[((zlim[2] - z_invDist)/zlen) * 7] : only 0's may be
mixed with negative subscripts--
*"Whenever you are confronted with an opponent. Conquer him with love."
Mahatma Gadhi*
[[alternative HTML
Dear list!
Here is a simplified script for cone in RGL (from rgl demos). I would like to
draw a truncated cone / frustum using RGL in R. Do you have any suggestion how
to modify code?
Thanks a lot, OV
library(rgl)
cone3d <- function(base=c(0,0,0), tip=c(0,0,1), rad=1, n=30) {
trans <- d
Hello,
I am attempting to estimate the effect of various variables on the time-series
of counts of reported cattle stillbirths. We investigate the effect of
day-of-week, month, holidays etc...and also the effect of non-temporal
variables.
We performed model comparisons between Gaussian glm, Pois
On Fri, 31 Jan 2014, Benjamin Ward (ENV) wrote:
Hi R helpers,
I have a set of data best shown in this below graph.
Each coloured line represents a statistic calculated across pairs of DNA
sequences. And for each coloured line, I would like to identify
breakpoints - so identify the chunks whe
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