hing for
> Latex but R crashed.
>
> I think there is an embedded character/s before the first chunk and in the
> first chunk.
>
> Duncan
>
> Duncan Mackay
> Department of Agronomy and Soil Science
> University of New England
> Armidale NSW 2351
> Email: home: mac...
I am forwarding to r-help just in case anyone else where wondering or have
the same problem running the example.
Cheers
D
-- Forwarded message --
From: Daniel Haugstvedt
Date: Sun, Dec 22, 2013 at 11:54 PM
Subject: Re: [R] Knitr, ggplot and consistent fonts
To: John Kane
Hi
been smaller, but they just became
too ugly for me
\documentclass{article}
\begin{document}
<>=
library(knitr)
library(ggplot2)
@
\title{Knitr and ggplot2}
\author{Daniel Haugstvedt}
\maketitle
There are four plots in this article. Figure \ref{fig:plot-figHeight} uses
the argument fig.heig
On Fri, Aug 23, 2013 at 7:12 PM, David Winsemius wrote:
>
> On Aug 23, 2013, at 3:12 AM, Daniel Haugstvedt wrote:
>
> > I am replying to my own question in case someone else finds this tread
> and needs help with the same problem. Thanks to Mark Leeds for helping me
> on
hem are attached at the end.
3) If a time zone is not needed the tz argument does nothing. It sets the tzone
but it does not change it.
4) The origin is assumed to be UTC regardless of what Sys.timezone() say as
long as no time zone for the origin is specified. I checked this by changing
the Sys.
t; )
[1] "2000-01-29 23:00:00 CET"
Which is "2000-01-30 UTC". Choosing set the time zone to be UTC in both
conversions,
as.POSIXct( as.numeric( as.POSIXct( '2000-01-30', origin = '1970-01-01', tz =
"UTC" ) ),
origin = '1970-01-01
: int [1:2015] 15 15 15 15 15 15 15 15 15 15
.
.
.
[list output truncated]
Now I wonder why I can't use POSIXlt in my data frame (I know I shouldn't but
that is not the question) and if I can use POSIXt like the original data? It
is human readable but also suited for calculation (e
Hi -
In an effort to learn some basic arima modeling in R i went through
the tutorial found at
http://www.stat.pitt.edu/stoffer/tsa2/R_time_series_quick_fix.htm
One of the examples gave me a log likelihood of 77. Now I am simply
wondering if this is the expected behavior? Looking in my text book
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