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| | [[ Category: General ]] |
| | | [[ Category: Data ]] |
| <syntaxhighlight lang="r">library(knitr)
| | [[ Category: Statistics ]] |
| #figures makde will go to directory called figures, will make them as both png and pdf files
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| opts_chunk$set(fig.path='figures/',dev=c('png','pdf'))
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| options(scipen = 2, digits = 3)
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| # set echo and message to TRUE if you want to display code blocks and code output respectively
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| knitr::knit_hooks$set(inline = function(x) {
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| knitr:::format_sci(x, 'md')
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| })
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| superpose.eb <- function (x, y, ebl, ebu = ebl, length = 0.08, ...)
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| arrows(x, y + ebu, x, y - ebl, angle = 90, code = 3,
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| length = length, ...)
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| se <- function(x) sd(x, na.rm=T)/sqrt(length(x))
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| #load these packages, nearly always needed
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| library(tidyr)
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| library(dplyr)</syntaxhighlight>
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| <div class="cell-output cell-output-stderr">
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| <pre>
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| Attaching package: 'dplyr'</pre>
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| </div>
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| <div class="cell-output cell-output-stderr">
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| <pre>The following objects are masked from 'package:stats':
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| filter, lag</pre>
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| </div>
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| <div class="cell-output cell-output-stderr">
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| <pre>The following objects are masked from 'package:base':
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| intersect, setdiff, setequal, union</pre>
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| </div>
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| <syntaxhighlight lang="r"># sets maize and blue color scheme
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| color.scheme <- c('#00274c', '#ffcb05')</syntaxhighlight>
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| </div>
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| <span id="general-statistical-methods"></span>
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| = General Statistical Methods = | | = General Statistical Methods = |
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