Displaying 20 results from an estimated 2000 matches similar to: "Strucchange gbreakpoints"
2011 Sep 14
1
Strucchange generating breakpoints
Hi,
I am new to R. I am using strucchange to get the breakpoints in time series
dataset. So the problem I am facing is: I want to link the result generated
by the breakpoints to further analysis (for eg. generating volatility for
each group). The result is in following form:
---------------------------------------
> res <- gbreakpoints(GDP.new ~ 1,data=a,h=2,breaks=6)
> res
2009 Jun 28
1
testing an ARFIMA model for structural breaks with unknown breakpoint
Dear R users,
I'm trying to use the "strucchange" package to determine structural breaks
in an ARFIMA model.
Unfortunately I'm not so familiar with this topic (and worse, I'm a beginner
in R), so I don't know exactly how to specify my model so that the
"Fstats","sctest" and "breakpoint" functions to recognize it and to
calculate the
2011 Sep 13
1
estimating Fstats in strucchange
Hi,
I am new to R. It would be kind if I could get some help on this.
I am using R to estimate Fstats but I am getting following error. a3 is
annual GDP data from 1951 to 2010.
> fs<- Fstats(ecm.model, from=1954, to = 1975,data=a3)
Error in Fstats(ecm.model, from = 1954, to = 1975, data = a3) :
inadmissable change points: 'from' is larger than 'to'
In addition: Warning
2011 Dec 30
3
Break Points
Respected Sir
I tried the strucchange
My data is attached. However I tried the attached commands (last
save.txt) to perform Bai Perron 2003... I t worked well but in the end
it is giving warning that overlapping confidence interval... I am not
sure how to proceed... Please Help Me
Thanking You
Ayanendu Sanyal
--
Please have a look at our new mission and contribute into it (cut and
paste the
2008 May 08
1
R strucchange question -- robust regression
Is it possible to use some form of robust regression with the
breakpoints routine so that it is less sensitive to outliers?
--Rich
Richard Kittler
Advanced Micro Devices, Inc.
Sunnyvale, CA
2012 May 29
1
strucchange Fstats() example
Dear all,
I'm trying to understand how the strucchange package is working and I have been looking at the examples given for the Fstats() function.
The first example (Nile), shows one peak in the F-stats and one breakpoint is estimated, that can be plotted using the following code
## Nile data with one breakpoint: the annual flows drop in 1898
## because the first Ashwan dam was built
2004 Apr 14
3
A bug report?
Folks,
I have a strange situation, which I may have isolated as a bug
report. Or, it could just be that there's something about R that I
don't know. :-) I have attached the data file and the program file but
don't know whether these attachments will make it into the list. Here
is my bugreport.R program --
---------------------------------------------------------------------------
2001 Sep 24
3
x axis point labels
I am attempting to manually specify x axis value labels (NOT x axis label as
in xlab) on a density plot. Generally speaking, I would like to erase the
default x axis point labels and replace them with arbitrary x axis point
labels relating to specific CDF points.
I am sure this can be done, but it isn't obvious to me how. Has anyone done
this before?
My R code follows if it helps (new
2012 Jun 19
1
STRUCCHANGE DETECTING BREAKPOINTS IN A TIME SERIES
HI
i'm trying to detect breaks points in various flow time series, they all
contains seasonality and trend
my question is :
i have to remove this seasonality and trend before apply the function
breakpoints du package strucchange??
another question, the function breakpoints is similar to de Pettit tests ?
or how does it realy works?
THANKS!!!!
DENISSE
--
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2012 Feb 26
1
strucchange breakpoints (Bai and Perron, 1998, 2003)
If I try the breakpoints() function (strucchange package) with a minimum
segment size = the number of regressors, there appears the following error
message:
"minimum segment size must be greater than the number of regressors"
According to the documentation:
"breakpoints implements the algorithm described in Bai & Perron (2003) for
simultaneous estimation of multiple
2004 Jul 16
1
strucchange: breakpoints in inequally spaced data
Hello,
we want to identify breakpoints (different phases) in environmental
data, algae cell counts of three years with intervals between 7 and 30
days (N=40). We found that
breakpoints(cells ~1)
works great and identifies 5 very good breaks, however we are uncertain
about these, because the data are unequally spaced. Is there a way to
include the information about the measurement intervals,
2011 Dec 07
1
removing specified length of text after a period in dataframe of char's
Dear all,
I'm trying to remove some text after the period (a decimal point) in
the data frame 'hi', below. This is one step in formatting a table. So
I would like e.g.
"2.0" to become "2"
and "5.3" to be "5.3",
where the variable digordered contains the number of digits after the
decimal that I would like to display, in the same order in which
2008 Jan 30
2
numeric coercion when one or more elements is non numerice
I don't understand this behavior. Why does the every data point get trashed by data.matrix when there is one non-numeric element in the array? Thanks.
> temp
GDP CPIYOY
19540 2098.1 garbage
19632 2085.4 0.9
19724 2052.5 0.8
19814 2042.4 1.1
> data.matrix(temp)
GDP CPIYOY
19540 4 4
19632 3 2
19724 2 1
19814 1
2009 Dec 22
1
strucchange | breakpoints - pure structural change model?
Dear R-Team,
Am I right supposing that the "breakpoints()" function in the strucchange
package is an implementation of the pure structural change model proposed
by Bai and Perron (1997, 2003)?
My question relates to a partial structural change model that Bai and
Perron formulate in their 2003 paper, e.g. formulated as
y = x' beta + z' delta_j + epsilon,
where beta and delta
2012 Apr 30
5
Different varable lengths
Hi!
I'm trying to do a lm() test on three objects. My problem is that R protests
and says that the variable lengths differ for one of the objects
(Sweden.GDP.gap). But I have double checked that the number of observations
are the same. All three objects should contain 9 observations but R only
accepts 9 observations in two of the objects. The third must have 10! Very
confusing because there
2012 Jun 27
1
Strucchange: Breakpoint slow
Hi to all,
I am trying to run breakpoints() on a fairly large sample (>10.000
observations). The process is very slow, any idea on how to speed this up? I
have tried the hpc="foreach" parameter, but this didn't work at all when I
tried to run it on a smaller sample.
breakpoints(x ~ x.l1 + x.l2 + X.l3 + x.l4 + x.l5 + x.l6 + x.l7 + x.l8 + y.l1
+ y.l2 + y.l3 + y.l4 + y.l5 + y.l6
2013 Jan 20
3
strucchange breakpoints r-squared
Can anyone please tell me how to get the r-squared output from a piecewise
(segmented) regression using the strucchange package? Here is the R code I
have tried thus far.
library(lmtest)
library(strucchange)
data <- ts(c(rnorm(30), runif(30)), frequency = 12, start = c(2005, 01))
bpts <- breakpoints(data ~ 1)
print(bpts)
summary(bpts)
coeftest(bpts)
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2008 Jul 02
1
Problem with strucchange package
Dear R Users,
I am attempting to use the strucchange package but get an error which is
difficult to decipher.
I get the following error with breakpoints:
> bp<-breakpoints(regr[,1]~regr[,2]+regr[,3])
Error in my.RSS.table[as.character(i), 3:4] <- c(pot.index[opt],
break.RSS[opt]) :
nothing to replace with
I was wondering if anyone has seen this issue before and off the top of
2011 Jul 29
2
'breackpoints' (package 'strucchange'): 2 blocking error messages when using for multiple regression model testing
Good morning to all,
I am encountering a blocking issue when using the function 'breackpoints'
from package 'strucchange'.
*Context:*
I use a data frame, 248 observations of 5 variables, no NA.
I compute a linear model, as y~x1+...+x4
x4 is a dummy variable (0 or 1).
I want to check this model for structural changes.
*Process & issues:*
*First, I used function Fstats.* It
2003 Oct 04
2
(no subject)
Dear all,
I have the following question. I have to fit the hierarchical model for the
hypothesis concern the individual-level effects by controlling for the
individual -level attributes and national-level contextual effects on
individuals by using R.
O have to obtain the estimates of the impact of the second-level (national:
GDP per capita) effects on individuals ( in this instance the impact