On May 20, 2011, at 3:54 PM, eeecon wrote:

Hi,

My code indicates there may be a bug in multilevel.
I doubt this is actually the case, can anyone tell me what is wrong with my
code?

The data file for this code can be downloaded here:
http://cameron.econ.ucdavis.edu/mmabook/mma15p4gev.asc

Here is the code that generates the bug:

### rm(list = ls())

## Thanks a lot!
## That line should have been commented.
##  To do otherwise says that the poster believes his problem is
##  more important than anything else in the workspace.


library("multilevel")

#v1
#fishing.data <- scan("mn.dat")
# This might be more readily reproducible with this line:

fishing.data <- scan(url("http://cameron.econ.ucdavis.edu/mmabook/mma15p4gev.asc ") )

fishing.data.array <- array(fishing.data, c(11, 4, 1182))
fishing.data.array <- aperm(fishing.data.array, c(3,2,1))
means <- aggregate(fishing.data.array[,,3:5],
as.data.frame(cbind(fishing.data.array[,1:4,2])), mean)

## Table 1
## > means
## V1 V2 V3 V4 V1 V2 V3 V4 V5 V6 ## 1 1 0 0 0 35.69949 35.69949 97.80913 125.00316 0.2791948 0.2190015 ## 2 0 1 0 0 30.57133 30.57133 82.42908 109.76335 0.2614444 0.2025348 ## 3 0 0 1 0 137.52710 137.52710 41.60681 70.58409 0.2082868 0.1297646 ## 4 0 0 0 1 120.64835 120.64835 44.56376 75.09694 0.2519077 0.1595341
##          V7        V8       V9      V10      V11      V12
## 1 0.1593985 0.5176090 4.051617 4.051617 4.051617 4.051617
## 2 0.1501489 0.4980798 3.387172 3.387172 3.387172 3.387172
## 3 0.1775411 0.6539167 4.654107 4.654107 4.654107 4.654107
## 4 0.1771628 0.6914998 3.880900 3.880900 3.880900 3.880900

#
## Note V1 and V2 above are the same.  This is suspicious.
## In fact (1,V1) from Table 1 should agree with (1,V1) from Table 2 below:
#

It appears to me that you are having problems with your use of aperm.



#v2
fishing.data <- scan("mn.dat")
dim(fishing.data) <- c(11,1182*4)
fishing.data <- t(fishing.data)
means <- aggregate(fishing.data[,3:5],
as.data.frame(fishing.data[,2]*fishing.data[,6:8]), mean)

## Table 2
## > means
##   V1 V2 V3       V1        V2       V3
## 1  0  0  0 95.85924 0.2717639 4.097600

Was not what I got.

> means
V1 V2 V3 V1 V2 V3 1 0.000000e+00 0.000000e+00 0.000000e+00 7.563181e-01 7.444081e-01 7.546115e-01 2 1.736111e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 3 5.208334e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 4 8.680555e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 5 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 6 1.215278e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 7 1.562500e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00

snipped about 1490 lines.

Would have been much more courteous to use:

head(means)

I think you should take the time to build a minimal example. Now that my workspace has been trashed, I have lost enthusiasm for this project.



## 2  1  0  0 30.57133 0.2025348 3.387172
## 3  0  1  0 41.60681 0.1775411 4.654107
## 4  0  0  1 75.09694 0.6914998 3.880900

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