Displaying 4 results from an estimated 4 matches for "pub_id".
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2005 May 20
4
issues with identical()
...data frames and I issue :
> identical(temp, temp1)
[1] FALSE
However, these data frames are Nx2 and when I issue:
> identical(temp[,2], temp1[,2])
[1] TRUE
> identical(temp[,1], temp1[,1])
[1] TRUE
and the results from str
> str(temp)
`data.frame': 7072 obs. of 2 variables:
$ pub_id : int 10000 1000 10001 10002 10003 10004 10005 10006 10007
$ faminc90: int -2 5998 19900 43000 35000 40000 56538 61000 36000 39105
> str(temp1)
`data.frame': 7072 obs. of 2 variables:
$ pub_id: int 10000 1000 10001 10002 10003 10004 10005 10006 10007 10008
$ faminc: int -2 5998 1990...
2017 May 24
2
System Time Source
On Wed, May 24, 2017 10:45 am, Warren Young wrote:
> On May 24, 2017, at 8:52 AM, Chris Adams <linux at cmadams.net> wrote:
>>
>> Once upon a time, Warren Young <warren at etr-usa.com> said:
>>> a. It???s transmitting from a fixed location in a time zone you
>>> probably aren???t in ??? US Mountain ??? being the least populous of
>>> the lower
2017 May 25
0
System Time Source
...cal monopole. The ERP is listed as 70kW, so the antenna
gain is already applied to the transmitted signal's specification and
thus doesn't need to be considered. (Lots of technical data can be found
in NIST's report on the 1998 upgrade:
http://ws680.nist.gov/publication/get_pdf.cfm?pub_id=50031 ).
Please see http://gpsinformation.net/main/gpspower.htm for the relevant
data on GPS (25.6W output, 13dBi gain, EIRP 27dBW (about 500W), free
space loss of 182dB, -130dBm receive signal strength (0.1 femtowatts, if
I've done the calculation correctly)).
> Ground effect (attenuat...
2004 May 26
0
Outlier identification according to Hardin & Rocke (1999)
...n of Robust Distances"
# http://handel.cipic.ucdavis.edu/~dmrocke/Robdist5.pdf
# See: Hardin & Rocke (2002), "Outlier Detection in the Multiple Cluster
# Setting Using the Minimum Covariance Determinant Estimator"
# http://bioinfo.cipic.ucdavis.edu/publications/print_pub?pub_id=736&category=1
# Drop factors first
factors <- names(x)[sapply(x,is.factor)]
if(length(factors)>0)
x <- x[-factors]
# Get the robust location/scale estimates
require(MASS)
covResult <- cov.rob(x)
# Calculate the mahalanobis distance for each datum
distanc...