Dear Jeff:
No, the effect I described has nothing to do wit USING dplyr. It occurs
with any (preexisting) data.frame once dplyr is LOADED (require(dplyr).
It is this silent, sort of backward acting effect that disturbs me.
Best,
Karl Schilling
On 04.08.2015 12:20, Jeff Newmiller wrote:
I
No, the effect I described has nothing to do wit USING dplyr. It occurs with
any (preexisting) data.frame once dplyr is LOADED (require(dplyr). It is
this silent, sort of backward acting effect that disturbs me.
You're going to need to provide some evidence for that charge: dplyr
does not
length(df[,1]).
Both commands will return n.
However, once dplyr is loaded,
length(df[,1]) will return a value of 1.
length(df$m1) and also length(df[[1]]) will correctly return n.
I know that using length() may not be the most elegant or efficient way to
get the value of n. However,
Apologies for cross-posting
We would like to announce the following statistics course:
Course: Introduction to zero inflated models
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On Tue, Aug 4, 2015 at 7:05 AM, Highland Statistics Ltd
highs...@highstat.com wrote:
Apologies for cross-posting
Apologies for UCE does not make it any less objectionable. But I would
love a working vacation in the U.K.
--
Schrodinger's backup: The condition of any backup is unknown
Dear Hadley:
your request for evidence for my observation seems to have paved the way
to solve this issue. As it turns out, the effect I described only occurs
with data.frames read in with readxl. Clearly, I missed that these are
tbl_df. And that explains the differential behavior depending
Dear All,
I have an observation / question about how the function length() works
once package dplyr is loaded.
Say we have a data.frame df with n rows and m columns. Then a way to
get the number of rows is to use
length(df$m1) (m1 here stand is as the header of the first column)
or,
Dear experts,
i want to use nlme or plm to analysis mixed effect model, my data has the
format :
city year area y x
1 2010 A 1.2 2
1 2011 A 3 3
2 2010 A 5 4
2 2011 A 2.1 1.8 3 2010 B 1.7 2
I
On 04 Aug 2015, at 10:50 , Karl Schilling karl.schill...@uni-bonn.de wrote:
Dear All,
I have an observation / question about how the function length() works once
package dplyr is loaded.
Say we have a data.frame df with n rows and m columns. Then a way to get the
number of rows is to
You probably need to ask this on a RStudio forum but my guess is it is just a
little 'refinement' that the RStudio people added. Similar in concept o the the
matching .
John Kane
Kingston ON Canada
-Original Message-
From: demmi...@gmail.com
Sent: Tue, 4 Aug 2015 08:51:24 -0600
Hello,
I have a quick question about the “file=“ specification for the command
write.csv.When I run this command in Rstudio I do not need the “file=“
specified. For example the below command works just fine.
write.csv(data,”/home/data.csv”)
However when I am running an Rscript from
I read in spss files using haven's read_spss. Each column then gets attributes
assigned named
label - a long description of the variable
class - labelled
labels --- answer labels i.e. 1=Male, 2=Female
example -
attributes(KPTV[[3]])
$label
[1] DERIVED: Survey language
$class
[1] labelled
I can confirm that the drop default is different, but keep in mind that it is
only changed for a tbl_df so just convert back to data.frame at the end of your
dplr operations to get back to your familiar data.frame behavior.
Thanks!
On Aug 4, 2015, at 9:04 AM, John Kane jrkrid...@inbox.com wrote:
You probably need to ask this on a RStudio forum but my guess is it is just a
little 'refinement' that the RStudio people added. Similar in concept o the
the matching .
John Kane
Kingston ON Canada
On Tue, Aug 4, 2015 at 11:04 AM, John Kane jrkrid...@inbox.com wrote:
You probably need to ask this on a RStudio forum but my guess is it is just a
little 'refinement' that the RStudio people added. Similar in concept o the
the matching .
Really? write.csv(data,”/home/data.csv”) works for me
I cannot reproduce your problem on a Windows 8 machine with R version 3.2.1. It
is working fine for me without file= when I source() a script file from the
console.
Open a script file and add the following commands:
test - data.frame(x=rnorm(15, 10, 2), y=rnorm(15, 15, 3))
write.csv(test,
On Tue, Aug 4, 2015 at 11:12 AM, Ista Zahn istaz...@gmail.com wrote:
On Tue, Aug 4, 2015 at 11:04 AM, John Kane jrkrid...@inbox.com wrote:
You probably need to ask this on a RStudio forum but my guess is it is just
a little 'refinement' that the RStudio people added. Similar in concept o
the
Call getwd() in both terminal and your RStudio environments and compare
results
Il 04/ago/2015 16:53, Brittany Demmitt demmi...@gmail.com ha scritto:
Hello,
I have a quick question about the “file=“ specification for the command
write.csv.When I run this command in Rstudio I do not need
cycle %% filter(col == blue, cycle == 1)
On Tue, Aug 4, 2015 at 18:59 Rodrigo Díaz rodlupa...@hotmail.com wrote:
Hi. I have a matrix like this:
You need to read up on indexing in R. What you want is logical indexing. You
can use just the vectors you created (since you didn't save the data frame that
you created) like this
cycle=c(rep(1,3),rep(2,3),rep(3,3),rep(4,3))
Hi. I have a matrix like this:
cycle=c(rep(1,3),rep(2,3),rep(3,3),rep(4,3))col=c(rep(blue,2),rep(green,2),rep(blue,2),rep(green,2),rep(blue,2),rep(green,2))values=c(1:12)data.frame(cycle,col,values)
# cycle col values#1 1 blue 1#2 1 blue 2#3 1
green 3#4 2
I have to estimate the volatility of FTSE/MIB index with a GARCH model from
2012-06-21 to 2015-04-30, in every day. I use garchFit function, but I
don't understand the meaning of se.coef output. Does this function estimate
the volatility in every day of the time series (in input)? So does it
I had to download a bunch of stuff but I got it mostly working.
Unfortunately using the alternative method I get the following:
housing-CensusAPI2010(c(H0010001), state.fips=state.fips, level =
c(block), key, summaryfile = c(sf1))
Error in file(con, r) : cannot open the connection
In
Install the latest version of dplyr? Should be fixed there.
Hadley
On Tue, Aug 4, 2015 at 9:40 AM, Conklin, Mike (GfK)
mike.conk...@gfk.com wrote:
I read in spss files using haven's read_spss. Each column then gets
attributes assigned named
label - a long description of the variable
class -
Let me just preface that everything I know about writing code for R is self
taught so this may be really basic but I can't figure it out!
I am using someone else code to create plots. I would like to change the
automatically generated colors to the same colors for every plot. The
current code
Try removing the line
x - x[order(x[,1], decreasing=TRUE),]
Peter
On Tue, Aug 4, 2015 at 10:58 AM, April Smith aprilgracesm...@gmail.com wrote:
Let me just preface that everything I know about writing code for R is self
taught so this may be really basic but I can't figure it out!
I am
Hi Keith,
On Tue, Aug 4, 2015 at 12:43 PM, Keith S Weintraub kw1...@gmail.com wrote:
I had to download a bunch of stuff but I got it mostly working.
Unfortunately using the alternative method I get the following:
housing-CensusAPI2010(c(H0010001), state.fips=state.fips, level =
c(block),
Can you give me a for-instance of “populations”? Is there a table or chart or
list or…
Also I guess that I should leave my R session on for as long as possible as
“install.blk” takes a really long time to re-upload if that is what it is doing.
Does install.blk go to the source every time?
Hi Keith,
I would only use install.blk() once. Then just load the
library(UScensus2010blk) like normal on your machine (this should be
relatively fast), redownloading and re-installing each time will be very
expensive (both on download and time).
The SF1 file manual produced by the US Census
P.S. The US census has different populations (or worlds) so make sure the
housing variable you use is accessing the correct world.
Best,
-- Zack
-
Zack W. Almquist
Assistant Professor
Department of Sociology and School of Statistics
On Aug 4, 2015, at 12:31 PM, Keith S Weintraub wrote:
Can you give me a for-instance of “populations”? Is there a table or chart or
list or…
Also I guess that I should leave my R session on for as long as possible as
“install.blk” takes a really long time to re-upload if that is what it
Sorry. In dplyr:
data %% filter(col == blue, cycle ==1) %% select(values)
On Tue, Aug 4, 2015 at 19:54 James Hedges jhedg...@gmail.com wrote:
cycle %% filter(col == blue, cycle == 1)
On Tue, Aug 4, 2015 at 18:59 Rodrigo Díaz rodlupa...@hotmail.com wrote:
Hi. I have a matrix like this:
Rodrigo Díaz wrote
Hi. I have a matrix like this:
cycle=c(rep(1,3),rep(2,3),rep(3,3),rep(4,3))col=c(rep(blue,2),rep(green,2),rep(blue,2),rep(green,2),rep(blue,2),rep(green,2))values=c(1:12)data.frame(cycle,col,values)
# cycle col values#1 1 blue 1#2 1 blue 2#3 1
Buenos días:
La función geom_smooth utiliza otra (stat_smooth) para hacer un suavizado.
Por defecto, si tienes menos de 1000 valores usa regresión local (loess), si
tienes más utiliza un modelo aditivo (gam).
Si tienes la certeza de que no vas a pasar nunca de 1000 valores usa el
siguiente
Hola,
# Hacemos el KED. Ver funci�n krige():
KED.rad - krige(
formula=pluvPcp~layer, # covariable - radar
locations=lluvia.rad.pluv.spdf,
newdata=radarGrid, # podr�a ser cualquier objeto
Spatial
model=v.fit,
Estimados colegas:
Estoy tratando de ejecutar varios scripts de R a través de php. Para ello
estoy utilizando el siguiente código pero me sale:
El URL solicitado no ha sido localizado en este servidor. El URL de
la página que lo refirió[1] parece ser equivocado u obsoleto. Por favor
comunique
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