Displaying 20 results from an estimated 4000 matches similar to: "plm empty model error (data is linked)"
2018 Jan 26
1
plm empty model error
Hi,
I am trying to estimate a two-way model with both individual and time fixed
effects. I am using plm with "twoways" specification.
plm(as.integer(yvar) ~ xvar, index = c("id", "time"), model="within",
data=dataset, effect = "twoways")
But I get keep getting the following message and I don't know what to do
about it, because I don't
2010 May 17
0
plm(..., model="within", effect="twoways") is very slow on unablanaced data (was: Re: Regressions with fixed-effect in R)
Hello Giovanni
I made a minor modification to your function, which now allows to
compute the within R-sq in Twoways Within models (see below).
However I ran into an issue that I have already encountered before:
whenever I try to fit Twoways Within models on my unbalanced data, the
process is strangely slow and I usually terminate it either after
~15min or when my CPU hits 100C. This is similar to
2010 Apr 08
1
plm package twoways effect problem
Hello everyone,
I have a peoblem to create the twoways effect in the plm package.
when i try to create the following
dsn1<-plm(lnQ~lnC+lnL+lnM+lnE+eco+RD,data=newdata,effect="twoways",model="within")
i have this error:
Error in rep.int(c(1, numeric(n)), n - 1L) : negative length vectors
are not allowed
and to be honest i have no idea what does it mean!! can someone
2010 Mar 16
2
plm "within" models: is the correct F-statistic reported?
Dear R users
I get different F-statistic results for a "within" model, when using
"time" or "twoways" effects in plm() [1] and when manually specifying
the time control dummies [2].
[1] vignette("plm")
[2] http://cran.r-project.org/doc/contrib/Farnsworth-EconometricsInR.pdf
Two examples below:
library("AER")
data("Grunfeld", package =
2011 Oct 06
1
Coefficients for lagged plm model variables not calculated
Hello,
So I am afraid I am having a recurring problem that I just can't figure out.
I am using the plm package to conduct a panel analysis - although I am not
sure if the problem is arising as a result of the plm package or something
more general.
I am trying to run a fixed effects model with effects over time and
individual. The model has various lags, and the problem is that these lags
do
2009 Aug 21
1
Panel Data Analysis (PLM) - Fixed Effects - "cannot allocate vector of length"
Hello to all on the list,
I'm trying to estimate a fixed effects model from a large (unbalanced) panel
data set.
I have no problems when using only an individual effect or only a time
effect, but I get an error message when I try for a "twoways" effect. Here
is some of the code:
paneldata27 is the entire panel data set:
> dim(paneldata27)
[1] 1178831 8
>
2005 Jul 05
1
by (tapply) and for loop differences
I am getting a difference in results when running some analysis using by and
tapply compare to using a for loop. I've tried searching the web but had no
luck with the keywords I used.
I've attached a simple example below to illustrates my problem. I get a
difference in the mean of yvar, diff and the p-value using tapply & by
compared to a for loop. I cannot see what I am doing wrong.
2012 Aug 11
1
using eval to handle column names in function calling scatterplot graph function
I am running R version 2.15.1 in Windows XP
I am having problems with a function I'm trying to create to:
1. subset a data.frame based on function arguments (colname & parmname)
2. rename the PARMVALUE column in the data.frame based on function
argument (xvar)
3. generate charts
plotvar <- function(parentdf,colname, parmname,xvar,yvar ){
subdf <-
2007 Nov 15
1
Writing a helper function that takes in the dataframe and variable names and then does a subset and plot
Hi,
I have a large dataframe than I'm writing functions to explore, and to
reduce cut and paste I'm trying to write a function that does a subset
and then a plot.
Firstly, I can write a wrapper around a plot:
plotwithfits <- function(formula, data, xylabels=c('','')) {
xyplot(formula, data, panel =
function(x,y, ...) {
panel.xyplot(x,y,
2011 Feb 28
0
Fwd: Re: speed up process
Dear Jim,
Here is again exactly what I did and with the output of Rprof (with this
reduced dataset and with a simpler function, it is here much faster than
in real life).
Thanks you again for your help!
## CODE ##
mydata1<- structure(list(species = structure(1:8, .Label =
c("alsen","gogor", "loalb", "mafas", "pacyn", "patro",
2011 Feb 25
1
speed up process
Dear users,
I have a double for loop that does exactly what I want, but is quite
slow. It is not so much with this simplified example, but IRL it is slow.
Can anyone help me improve it?
The data and code for foo_reg() are available at the end of the email; I
preferred going directly into the problematic part.
Here is the code (I tried to simplify it but I cannot do it too much or
else it
2010 Mar 29
1
plm package duplication problem
hi,
i am writing my master thesis and i am dealing with 146474 observations
(panel data), i have just learned the R so i am a beginner!!
i am trying to use the "plm" package and i have a duplication problem;
i have written the following commands to read my data and create my model
>dsn<-plm.data(ds, c("stno", "year")) ds=name of my data, stno=individual
2009 Jan 21
0
trouble switching to 'plm' from 'xtabond' and Stata
Hello,
I am switching to R from Stata and I am having particular trouble with
the transition from Stata's 'xtabond' and 'ivreg' commands to the
"plm" package. I am trying to replicate some of the dynamic panel data
work using the UK Employment data in Arellano and Bond (1991) and
available as 'EmplUK' under the 'plm' package.
I have been
2012 Mar 08
1
Panel models: Fixed effects & random coefficients in plm
Hello,
I am using {plm} to estimate panel models. I want to estimate a model that
includes fixed effects for time and individual, but has a random individual
effect for the coefficient on the independent variable.
That is, I would like to estimate the model:
Y_it = a_i + a_t + B_i * X_it + e_it
Where i denotes individuals, t denotes time, X is my independent variable,
and B (beta) is the
2007 Jun 14
4
question about formula for lm
Dear all;
Is there any way to make this to work?:
.x<-rnorm(50,10,3)
.y<-.x+rnorm(50,0,1)
X<-data.frame(.x,.y)
colnames(X)<-c("Xvar","Yvar")
Ytext<-"Yvar"
lm(Ytext~Xvar,data=X) # doesn't run
lm(Yvar~Xvar,data=X) # does run
The main idea is to use Ytext as input in a function, so you just type
"Yvar" and the model should fit....
2011 Aug 30
1
R crash
Dear users,
By running the script below, R crashes systematically at the last
command, namely dev.off(), on Windows 7, but not on Windows XP.
I therefore don't provide a reproducible example and do not really
extract the relevant parts of the script because it has most likely
nothing to do with the script itself. I can do it though if you think it
might be relevant.
R crashes on Windows
2012 Sep 20
1
Gummy Variable : Doubt
Hi,
I have a system in which I analyze 2 subjects and 1 variable, so I have
2 models as follow:
y ~ x_1[, 1] + x_2[, 1] + x_1[, 2] + x_2[, 2]
Where
x_1[, i] = cos(2 * pi * t / T_i)
x_2[, i] = sin(2 * pi * t / T_i)
i = 1, 2
Data have two columns: t and y.
As you can see, I have a multiple components model, with rithm and
without trends, and I have a fundamental
2019 May 25
3
Increasing number of observations worsen the regression model
I have the following code:
```
rm(list=ls())
N = 30000
xvar <- runif(N, -10, 10)
e <- rnorm(N, mean=0, sd=1)
yvar <- 1 + 2*xvar + e
plot(xvar,yvar)
lmMod <- lm(yvar~xvar)
print(summary(lmMod))
domain <- seq(min(xvar), max(xvar))??? # define a vector of x values to
feed into model
lines(domain, predict(lmMod, newdata = data.frame(xvar=domain)))??? #
add regression line, using
2010 Apr 09
0
panel regression with twoways random effects, on unbalanced data?
Dear R users
What would be the best way to approach estimating a panel regression
with twoways random effects, on unbalanced data? Unfortunately, the
"plm" package has no implementation of twoways random effects for
unbalanced data. Currently I'm considering two approaches:
- extend "plm" to cover this type of panel regression. (For the
authors, cc'ed:) Would
2011 Apr 01
3
programming: telling a function where to look for the entered variables
Hi there,
Could someone help me with the following programming problem..?
I have written a function that works for my intended purpose, but it
is quite closely tied to a particular dataframe and the names of the
variables in this dataframe. However, I'd like to use the same
function for different dataframes and variables. My problem is that
I'm not quite sure how to tell my function in