Pakillo

#' Retrieve number of citations of a paper in Google Scholar
#' 
#' This function retrieves the number of citations of a given paper in Google Scholar.
#' 
#' @param user character vector. The user ID in Google Scholar Citations. Obtain from author's profile website in google scholar (http://scholar.google.com/citations?user=...)
#' @param paper character vector. The paper ID in Google Scholar Citations. Copy from publication list in author's profile website.
#' @author F. Rodriguez-Sanchez
#' @examples
#' ncites_scholar(user="B7vSqZsAAAAJ", paper="d1gkVwhDpl0C")  
#' 

Pakillo

# Here are a few methods for getting text from PDF files. Do read through 
# the instructions carefully! NOte that this code is written for Windows 7,
# slight adjustments may be needed for other OSs

# Tell R what folder contains your 1000s of PDFs
dest <- "G:/somehere/with/many/PDFs"

# make a vector of PDF file names
myfiles <- list.files(path = dest, pattern = "pdf",  full.names = TRUE)

Pakillo

# Joseph R. Mihaljevic
# July 2013
# (Partial) Bayesian analysis of variance, accounting for heteroscedasticity
# Generate some artificial data:
# Normally distributed groups, but heteroscedastic
a <- rnorm(25, mean=8, sd=10)
b <- rnorm(50, mean=5, sd=2)
c <- rnorm(25, mean=3, sd=.1)
d <- rnorm(25, mean=11, sd=3)
e <- rnorm(50, mean=13, sd=2)

Pakillo

## Function to use GDAL to project coordinate reference system

# See http://www.gdal.org/gdalwarp.html for additional details 
# `resampling` can be 'near' (nearest neighbour), 'bilinear', 'cubic', or
# 'lanczos' (Lanczos windowed sinc resampling). 
# `extent` should be a bbox object or a vector of c(xmin, ymin, xmax, ymax)
# `of` is the output format (use GDAL short name as given by the name field of
# gdalDrivers(), or at http://www.gdal.org/formats_list.html)
# `extension` is the output extension corresponding to the primary file
# `ot` is the output type (see http://www.gdal.org/gdal_translate.html)

Pakillo

• knitr::kable
• xtable
• stargazer
• pander
• ztable
• moonBook
• htmlTable
• Gmisc
• hwriter

Pakillo

• captioner
• fighelper
• kfigr
• Gmisc
• P. Humburg's functions
• R.M. Flight's functions

See http://stackoverflow.com/questions/13848137/figure-captions-references-using-knitr-and-markdown-to-html.

Pakillo

#' Calculate total cover per species in vegetation transects
#'
#' Calculate total cover per species in each transect, layer within transect, etc.
#' Optionally, the function can also calculate length of bare ground (as ground not covered
#' by any plant species).
#'
#' @export
#' @author F Rodriguez-Sanchez
#' @importFrom plyr ddply
#' @importFrom gtools odd even

Pakillo

---
title: "A few methods for making tables in rmarkdown"
output: html_document
---

Updates: 

Packages that have appeared since my original look into this, and seem great:

https://github.com/yihui/printr

Pakillo

Pakillo

library(dismo)

# Get elevation data from the internet for specified coordinates
elev <- getData("SRTM", download=T, lon=-76.6, lat=18.1)

# Specify desired extent
ext <- c(-76.68, -76.65, 18.08, 18.11)
ext2 <- c(-76.675, -76.655, 18.088, 18.10) # for plotting