From c22de1053e221395e96c5acbb1963ad2937f6fd0 Mon Sep 17 00:00:00 2001 From: Laura DeCicco <ldecicco@usgs.gov> Date: Mon, 18 Feb 2013 11:08:54 -0600 Subject: [PATCH] Corrected some spelling mistakes. --- inst/doc/dataRetrieval.Rnw | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/inst/doc/dataRetrieval.Rnw b/inst/doc/dataRetrieval.Rnw index cc0df4c3..51f48012 100644 --- a/inst/doc/dataRetrieval.Rnw +++ b/inst/doc/dataRetrieval.Rnw @@ -79,11 +79,11 @@ Once the site-ID is known, the next required input for USGS data retrievals is t <<openLibrary, echo=FALSE>>= library(xtable) options(continue=" ") +# options(width=70) options(SweaveHooks=list(fig=function() par(mar=c(4.1,4.1,1.1,4.1),oma=c(0,0,0,0)))) @ -@ <<label=tableParameterCodes, echo=FALSE,results=tex>>= pCode <- c('00060', '00065', '00010','00045','00400') @@ -518,7 +518,7 @@ This section describes the options for downloading and installing the dataRetrie %------------------------------------------------------------ If you are new to R, you will need to first install the latest version of R, which can be found here: \url{http://www.r-project.org/}. -There are many options for running and editing R code, one nice enviornment to learn R is RStudio. RStudio can be downloaded here: \url{http://rstudio.org/}. Once R and RStudio are installed, the dataRetrieval package needs to be installed as described in the next section. +There are many options for running and editing R code, one nice environment to learn R is RStudio. RStudio can be downloaded here: \url{http://rstudio.org/}. Once R and RStudio are installed, the dataRetrieval package needs to be installed as described in the next section. %------------------------------------------------------------ \subsection{R User: Installing dataRetrieval from downloaded binary} -- GitLab