Displaying 5 results from an estimated 5 matches for "emigration".
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migration
2009 Jan 10
1
Hmisc-xtable label
...ncol = 10)
x.big <- data.frame(x)
latex(x.big,"",label="tab:nice",file="",longtable=TRUE, dec=2,landscape=TRUE,
caption='longtable generated with Hmisc.')
@
\section{Results}
\subsection{Sampling effort}
Weekly sampling effort throughout the 2006 brood-year emigration period was highly variable and ranged
from 0.21 to 1.00 (0 = 0.74, N = 52 weeks; Table 1). Weekly sampling effort ranged from 0.21 to 1.00 (0 = 0.73, N = 26 weeks)
between July and December, the period of greatest juvenile winter Chinook emigration, and 0.21 to 1.00 (0 = 0.75, N = 26 weeks)
dur...
2008 Mar 03
1
Studdy Missing Data, differentiate between a percent with in the valid answers and with in the different missing answers
Hi R experts
I'm trying to emigrate from SPSS to R, thou I have some problems whit
getting R to distinguish between the different kind of missing.
I want to distinguish between data that are missing because a
respondent refused to answer and data that are missing because the
question didn't apply to that respondent. In other words I wante to
create data values where I control
2004 Jan 06
0
MGPXIPS, and who might
emigrate tough sprightly torque tallyho
alizarin dispersible chipmunk hypertensive rhine tincture creating cryptanalyze
conjoint odious also downstream brew footage
2012 Jul 30
2
Alternating between "for loops"
Dear All,
I would like to apply two different "for loops" to each set of four columns
of a matrix (the loops here are simplifications of the actual loops I will
be running which involve multiple if/else statements).
I don't know how to "alternate" between the loops depending on which column
is "running through the loop" at the time.
## Set up matrix
J <- 10
N
2009 Jan 15
2
Interface to open source Reporting tools
...t; latex(x.big,"",label="tab:nice",file="",longtable=TRUE,
> dec=2,landscape=TRUE,
> caption='longtable generated with Hmisc.')
> @
>
> \section{Results}
> \subsection{Sampling effort}
> Weekly sampling effort throughout the 2006 brood-year emigration period was
> highly variable and ranged
> from 0.21 to 1.00 (0 = 0.74, N = 52 weeks; Table 1). Weekly sampling
> effort ranged from 0.21 to 1.00 (0 = 0.73, N = 26 weeks)
> between July and December, the period of greatest juvenile winter Chinook
> emigration, and 0.21 to 1.00 (0 = 0...