<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="http://www.r-bloggers.com/calculate-your-nutrients-with-my-new-package-nutrientdata/"></div></div><div><a data-url="http://www.r-bloggers.com/calculate-your-nutrients-with-my-new-package-nutrientdata/" data-counturl="http://www.r-bloggers.com/calculate-your-nutrients-with-my-new-package-nutrientdata/" data-count="horizontal" data-text="Calculate your nutrients with my new package: NutrientData" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://www.56n.dk/calculate-your-nutrients-with-my-new-package-nutrientdata/"> Renglish – 56north | Skræddersyet dataanalyse</a></strong>, and kindly contributed to <a rel="nofollow" href="http://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>I have created a new package: NutrientData</p>
<p>This package contains data sets with the composition of Foods: Raw, Processed, Prepared. The source of the data is the <a target="_blank" href="http://www.ars.usda.gov/ba/bhnrc/ndl">USDA National Nutrient Database for Standard Reference</a>, Release 28 (2015), a long with two functions to search and calculate nutrients.</p>
<p>You download it from github:<br>
<code>devtools::install_github(&quot;56north/NutrientData&quot;)</code></p>
<p>Lets first have a look at the the top 20 calorie dense foods</p>
<p><code>library(NutrientData)<br>
library(dplyr)
<p>data(&quot;ABBREV&quot;) # Load the data</p>
<p>ABBREV %>% # Select the data<br>
arrange(-Energ_Kcal) %>% # Sort by calories per 100 g<br>
select(Food = Shrt_Desc, Calories = Energ_Kcal) %>% # Select relevant columns<br>
slice(1:20) %>% # Choose the top 20 </p>
<p>If you want to search for a specific ingredient you use the “search_ingredient” function. Lets search for raw onions:</p>
<p><code>search_ingredient(&quot;onion,raw&quot;)</code></p>
<p>You can also calculate the nutrient composition of several foods, like a simple yet delicious cabbage salad:</p>
<p><code>ingredients &lt;- c(&quot;CABBAGE,RAW&quot;, &quot;MAYONNAISE,RED FAT,W/ OLIVE OIL&quot;, &quot;ONIONS,RAW&quot;)<br>
grams &lt;- c(100, 20, 10)
<p>calculate_nutrients(ingredients, grams) %>%<br>
select(Food = 1, Calories = 3, Protein = 4,<br>
Fat = 5, Carbs = 7) %>% # Select only a few variables for looks and rename </p>
<p>Dinner is served. I look forward to your feedback! And if anyone is up for it, then this is a package that is just begging for cool visualizations for nutrient composition along with a Shiny overlay.!</p>

<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="http://www.r-bloggers.com/calculate-your-nutrients-with-my-new-package-nutrientdata/"></div></div><div><a data-url="http://www.r-bloggers.com/calculate-your-nutrients-with-my-new-package-nutrientdata/" data-counturl="http://www.r-bloggers.com/calculate-your-nutrients-with-my-new-package-nutrientdata/" data-count="vertical" data-text="Calculate your nutrients with my new package: NutrientData" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>

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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://www.56n.dk/calculate-your-nutrients-with-my-new-package-nutrientdata/"> Renglish – 56north | Skræddersyet dataanalyse</a></strong>.</div>
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