clean build of all lessons

Leah Wasser · Leah Wasser · commit d9985bb5ab31 · 2017-01-12T11:11:29.000-07:00
diff --git a/_pages/learn.md b/_pages/learn.md
@@ -13,6 +13,13 @@ modified: 2016-08-21T17:19:29-04:00
 author_profile: false
 ---
 
+## <i class="fa fa-plane" aria-hidden="true"></i> New course: Earth Analytics - Spring 2017
+A newly designed
+[Earth Systems Analytics course - GEOG 4563 / 5563]({{ site.url }}/course-materials/earth-analytics/)
+is being held this Spring 2017 on the CU Boulder campus. This course fuses key
+topics related to the grand challenges in science, remote sensing and
+computationally intensive approaches.
+
 ## Recent Classroom Modules
 
 Below, is a list of the most recent classroom modules. Classroom modules consist
@@ -25,9 +32,6 @@ Check out the instructor notes to better understand how each lesson can be taugh
 {% assign modules = site.posts | where:"order", 1 %}
 {% for module in modules limit:3 %}
 
-{{ module.module-title }}
-{{ module.class-lesson }}
-
 <div class="list__item">
   <article class="archive__item" >
   <h2 class="archive__item-title">
@@ -106,12 +110,7 @@ the bottom. We'll try our best to help!
 
 [View All Tutorials]({{ site.url }}{{ site.baseurl }}/tutorials/)
 
-## Data Intensive Courses
-A newly designed
-[Earth Systems Analytics course - GEOG 4563 / 5563]({{ site.url }}/course-materials/earth-analytics/)
-will be this Spring 2017. This course fuses key topics related to the grand
-challenges in science, remote sensing and computationally intensive approaches.
-The course will be held in Spring 2017 at the CU Boulder campus.
+
 
 
 Questions? Tweet: <a href="http://twitter.com/leahawasser" class="btn btn--twitter"><i class="fa fa-twitter"></i>@leahawasser</a> or <a href="http://twitter.com/mxwlj" class="btn btn--twitter"><i class="fa fa-twitter"></i>@mxwlj</a>
diff --git a/_posts/course-materials/earth-analytics/week-1/co-floods-1-intro/2016-12-06-erosion-02-precip-discharge-r-example.md b/_posts/course-materials/earth-analytics/week-1/co-floods-1-intro/2016-12-06-erosion-02-precip-discharge-r-example.md
@@ -3,7 +3,7 @@ layout: single
 title: "Work with Precipitation Data in R - 2013 Colorado Floods"
 excerpt: "This lesson provides students wiht an example of a data driven report to emphsize the importance of connecting data, documentation and results."
 authors: ['Leah Wasser', 'NEON Data Skills', 'Mariela Perignon']
-modified: 2017-01-06
+modified: 2017-01-12
 category: [course-materials]
 class-lesson: ['co-floods-1-intro']
 permalink: /course-materials/earth-analytics/week-1/co-floods-data-example-r/
diff --git a/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd01-why-rmarkdown.md b/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd01-why-rmarkdown.md
@@ -8,7 +8,7 @@ class-lesson: ['intro-rmarkdown-knitr']
 permalink: /course-materials/earth-analytics/week-1/intro-rmarkdown-knitr/
 nav-title: 'Intro to R Markdown'
 dateCreated: 2016-12-12
-modified: 2017-01-11
+modified: 2017-01-12
 module-title: 'Document & Publish a Workflow with R Markdown & Knitr'
 module-nav-title: 'R Markdown Intro'
 module-description: 'This module teaches participants how to use R Markdown
diff --git a/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd02-RMarkdown.md b/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd02-RMarkdown.md
@@ -4,7 +4,7 @@ title: "Write Reports and Document Workflow Using R Markdown"
 excerpt: 'This tutorial cover how to create an R Markdown file in R and then
 render it to html using knitr.'
 authors: [Leah Wasser, NEON Data Skills]
-modified: 2017-01-11
+modified: 2017-01-12
 category: [course-materials]
 class-lesson: ['intro-rmarkdown-knitr']
 permalink: /course-materials/earth-analytics/week-1/intro-rmarkdown-knitr2/
diff --git a/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd03-markdown.md b/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd03-markdown.md
@@ -4,7 +4,7 @@ title: "Intro to Markdown"
 excerpt: 'This tutorial cover how to use Markdown syntax in R and then
 render it to html using knitr.'
 authors: [Leah Wasser, NEON Data Skills]
-modified: 2017-01-11
+modified: 2017-01-12
 category: [course-materials]
 class-lesson: ['intro-rmarkdown-knitr']
 permalink: /course-materials/earth-analytics/week-1/intro-to-markdown/
diff --git a/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd04-intro-to-code-chunks.md b/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd04-intro-to-code-chunks.md
@@ -6,7 +6,7 @@ R Markdown file in R Studio. It also explores how to use comments to document yo
 code workflow.'
 authors: [Leah Wasser, NEON Data Skills]
 category: [course-materials]
-modified: 2017-01-11
+modified: 2017-01-12
 class-lesson: ['intro-rmarkdown-knitr']
 permalink: /course-materials/earth-analytics/week-1/code-chunks-comments-knitr/
 nav-title: 'Code Chunks'
diff --git a/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd05-knitr.md b/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd05-knitr.md
@@ -5,10 +5,10 @@ description: "This tutorial introduces how to use the R knitr package to publish
 from R Markdown files to HTML (or other) file format."
 authors: ['Leah Wasser', 'NEON Data Skills']
 category: [course-materials]
-modified: 2017-01-11
+modified: 2017-01-12
 class-lesson: ['intro-rmarkdown-knitr']
 permalink: /course-materials/earth-analytics/week-1/knit-rmarkdown-document-to-pdf/
-nav-title: 'R knitr package'
+nav-title: 'Knit .Rmd to .html'
 week: 1
 sidebar:
   nav:
diff --git a/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd06-Setup-Resources.md b/_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd06-Setup-Resources.md
@@ -5,7 +5,7 @@ excerpt: "This lesson contains a list of resources that will help you work with
 R markdown. If you know of other resources, please add them to the comments
 below."
 authors: ['Leah Wasser']
-modified: 2017-01-11
+modified: 2017-01-12
 category: [course-materials]
 class-lesson: ['intro-rmarkdown-knitr']
 permalink: /course-materials/earth-analytics/week-1/intro-rmarkdown-knitr6/
diff --git a/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-01-r-rstudio.md b/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-01-r-rstudio.md
@@ -6,7 +6,7 @@ title: 'Install & setup R and RStudio on your laptop'
 attribution: 'These materials were adapted from Software Carpentry materials by Earth Lab.'
 excerpt: 'This tutorial walks you through downloading and installing R and RStudio on your computer.'
 dateCreated: 2016-12-12
-modified: 2017-01-11
+modified: 2017-01-12
 module-title: 'Setup R, RStudio & Your Working Directory'
 module-description: 'This module walks you through getting R and RStudio setup on your
 laptop. It also introduces file organization strategies.'
@@ -30,7 +30,7 @@ order: 1
 
 ##  R & RStudio Setup
 
-In this tutorial, we will walk you through downloading and installing `R` & `RStudio`
+In this tutorial, we will download and install `R` & `RStudio`
 on your computer.
 
 >The `R` & `RStudio` installation instructions below were adapted from
@@ -86,5 +86,5 @@ Or you can use your package manager (e.g. for Debian/Ubuntu run
 * Once it's downloaded, double click the file to install it.
 
 
-Once `R` and `RStudio` are installed, open `RStudio` to make sure it works and that
-you don't get any error messages.
+Once `R` and `RStudio` are installed, open `RStudio` to make sure that it works
+and there are no errors when you open it.
diff --git a/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-02-rstudio-overview.md b/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-02-rstudio-overview.md
@@ -6,7 +6,7 @@ title: 'Get to Know RStudio'
 attribution: 'These materials were adapted from Software Carpentry materials by Earth Lab.'
 excerpt: 'This tutorial walks you through downloading and installing R and RStudio on your computer.'
 dateCreated: 2016-12-12
-modified: 2017-01-11
+modified: 2017-01-12
 nav-title: 'RStudio Intro'
 week: 1
 sidebar:
diff --git a/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-03-packages.md b/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-03-packages.md
@@ -6,7 +6,7 @@ title: 'Install & Use Packages in R'
 attribution: 'These materials were adapted from Software Carpentry materials by Earth Lab.'
 excerpt: 'Packages are sets of functions that perform tasks that help us work with various data structures in R. This tutorial walks you through installing and loading R packages R in RStudio.'
 dateCreated: 2016-12-12
-modified: 2017-01-11
+modified: 2017-01-12
 nav-title: 'Install Packages'
 week: 1
 sidebar:
diff --git a/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-04-file-organization-101.md b/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-04-file-organization-101.md
@@ -11,7 +11,7 @@ sidebar:
 class-lesson: ['setup-r-rstudio']
 permalink: course-materials/earth-analytics/week-1/file-organization-101/
 dateCreated: 2016-12-12
-modified: 2017-01-11
+modified: 2017-01-12
 course: 'earth-analytics'
 author_profile: false
 comments: true
diff --git a/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-05-working-directory.md b/_posts/course-materials/earth-analytics/week-1/setup-r-rstudio/2016-12-08-setup-05-working-directory.md
@@ -3,15 +3,17 @@ layout: single
 authors: ['Software Carpentry']
 category: [course-materials]
 title: 'Create a Project & Working Directory Setup'
-excerpt: '#.'
+excerpt: 'This lessons covers the concept of a project directory compared to a
+working directory as used in R Studio. It also reviews how to set up a clearly
+organized project directory and associated file structure.'
 nav-title: 'Setup Working Directory'
 week: 1
 sidebar:
   nav:
 class-lesson: ['setup-r-rstudio']
 permalink: course-materials/earth-analytics/week-1/setup-working-directory/
 dateCreated: 2016-12-12
-modified: 2017-01-08
+modified: 2017-01-12
 author_profile: false
 comments: true
 order: 5
@@ -46,7 +48,7 @@ your computer to complete this tutorial.
 </div>
 
 
-## Setup Working Directory
+## Create earth-analytics project directory
 
 Now that we have the basics of good project structure out of the way, let's get
 our project setup. We are going to create an `earth-analytics` project directory
@@ -127,7 +129,7 @@ If your working directory path does not match the location where you created you
 set the working directory with `R` code OR we can use the `RStudio` interface to
 set the working directory.
 
-## Set Working Directory Using RStudio
+### Set working directory in RStudio interface
 
 Let's set the working directory using the `RStudio` interface.
 
@@ -156,7 +158,7 @@ Your window should look like the screen shot below:
 </figure>
 
 
-## Set Working Directory Using Code
+## Set working directory using code
 
 We can set the working directory  using code in R too. You don't have to do this
 if you already set the working directory above. However, it's good to know how
diff --git a/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R01-get-to-know-r.md b/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R01-get-to-know-r.md
@@ -10,7 +10,7 @@ class-lesson: ['get-to-know-r']
 permalink: /course-materials/earth-analytics/week-2/get-to-know-r/
 nav-title: 'Get to Know R'
 dateCreated: 2016-12-13
-modified: 2017-01-06
+modified: 2017-01-12
 module-title: 'Get to Know R'
 module-nav-title: 'Get to Know R'
 module-description: 'This module introduces the R scientific programming language.
diff --git a/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R02-start-using-r.md b/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R02-start-using-r.md
@@ -10,7 +10,7 @@ class-lesson: ['get-to-know-r']
 permalink: /course-materials/earth-analytics/week-2/objects-in-r/
 nav-title: 'Objects in R'
 dateCreated: 2016-12-13
-modified: 2017-01-06
+modified: 2017-01-12
 week: 2
 sidebar:
   nav:
diff --git a/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R03-vectors-and-subsetting-in-r.md b/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R03-vectors-and-subsetting-in-r.md
@@ -9,7 +9,7 @@ class-lesson: ['get-to-know-r']
 permalink: /course-materials/earth-analytics/week-2/work-with-data-types-r/
 nav-title: 'Vectors in R'
 dateCreated: 2016-12-13
-modified: 2017-01-06
+modified: 2017-01-12
 week: 2
 sidebar:
   nav:
diff --git a/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R04-missing-data-in-r.md b/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R04-missing-data-in-r.md
@@ -8,7 +8,7 @@ class-lesson: ['get-to-know-r']
 permalink: /course-materials/earth-analytics/week-2/missing-data-in-r-na/
 nav-title: 'Missing data'
 dateCreated: 2016-12-13
-modified: 2017-01-06
+modified: 2017-01-12
 week: 2
 sidebar:
   nav:
diff --git a/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R05-spreadsheet-data-r.md b/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R05-spreadsheet-data-r.md
@@ -8,7 +8,7 @@ class-lesson: ['get-to-know-r']
 permalink: /course-materials/earth-analytics/week-2/spreadsheet-data-in-R/
 nav-title: 'Spreadsheet Data in R'
 dateCreated: 2016-12-13
-modified: 2017-01-06
+modified: 2017-01-12
 week: 2
 sidebar:
   nav:
diff --git a/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R06-write-clean-code.md b/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R06-write-clean-code.md
@@ -8,7 +8,7 @@ class-lesson: ['get-to-know-r']
 permalink: /course-materials/earth-analytics/week-2/write-clean-code-with-r/
 nav-title: 'Write Clean Code'
 dateCreated: 2016-12-13
-modified: 2017-01-06
+modified: 2017-01-12
 week: 2
 sidebar:
   nav:
diff --git a/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R07-getting-help-r.md b/_posts/course-materials/earth-analytics/week-2/get-to-know-r/2016-12-06-R07-getting-help-r.md
@@ -8,7 +8,7 @@ class-lesson: ['get-to-know-r']
 permalink: /course-materials/earth-analytics/week-2/about-and-get-help-with-R/
 nav-title: 'About R / Getting Help'
 dateCreated: 2016-12-13
-modified: 2017-01-06
+modified: 2017-01-12
 week: 2
 sidebar:
   nav:
diff --git a/_posts/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood01-intro-to-ggplot-R.md b/_posts/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood01-intro-to-ggplot-R.md
@@ -3,7 +3,7 @@ layout: single
 title: "Plotting with GGPLOT"
 excerpt: "This lesson walks through using GGPLOT2 to plot data."
 authors: ['Leah Wasser', 'Data Carpentry']
-modified: 2017-01-06
+modified: 2017-01-12
 category: [course-materials]
 class-lesson: ['hw-ggplot2-r']
 permalink: /course-materials/earth-analytics/week-2/hw-ggplot2-r/
diff --git a/_posts/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood02-date-format-R.md b/_posts/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood02-date-format-R.md
@@ -3,7 +3,7 @@ layout: single
 title: "Work With Dates in R - Plot Time Series Data"
 excerpt: "This lesson walks through working with time series data in R. you will learn how to convert a data field to a date class that R can understand as a date/time element."
 authors: ['Leah Wasser', 'Data Carpentry']
-modified: 2017-01-06
+modified: 2017-01-12
 category: [course-materials]
 class-lesson: ['hw-ggplot2-r']
 permalink: /course-materials/earth-analytics/week-2/date-class-in-r/
diff --git a/_posts/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood04-precipitation-data-in-R.md b/_posts/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood04-precipitation-data-in-R.md
@@ -5,7 +5,7 @@ excerpt: "This lesson walks through the steps need to download and visualize
 precipitation data in R to better understand the drivers and impacts of the 2013
 Colorado floods."
 authors: ['Leah Wasser', 'NEON Data Skills', 'Mariela Perignon']
-modified: 2017-01-06
+modified: 2017-01-12
 category: [course-materials]
 class-lesson: ['hw-ggplot2-r']
 permalink: /course-materials/earth-analytics/week-2/precip-in-r/
@@ -103,44 +103,24 @@ We can use `read.csv()` to import the `.csv` file.
 # do we need to do something about NA VALUES?
 boulder_daily_precip <- read.csv("data/week2/805325-precip-dailysum_2003-2013.csv",
          header = TRUE)
+## Warning in file(file, "rt"): cannot open file 'data/week2/805325-precip-
+## dailysum_2003-2013.csv': No such file or directory
+## Error in file(file, "rt"): cannot open the connection
 
 
 # view first 6 lines of the data
 head(boulder_daily_precip)
-##     DATE DAILY_PRECIP     STATION    STATION_NAME ELEVATION LATITUDE
-## 1 1/1/03         0.00 COOP:050843 BOULDER 2 CO US    1650.5 40.03389
-## 2 1/5/03       999.99 COOP:050843 BOULDER 2 CO US    1650.5 40.03389
-## 3 2/1/03         0.00 COOP:050843 BOULDER 2 CO US    1650.5 40.03389
-## 4 2/2/03       999.99 COOP:050843 BOULDER 2 CO US    1650.5 40.03389
-## 5 2/3/03         0.40 COOP:050843 BOULDER 2 CO US    1650.5 40.03389
-## 6 2/5/03         0.20 COOP:050843 BOULDER 2 CO US    1650.5 40.03389
-##   LONGITUDE YEAR JULIAN
-## 1 -105.2811 2003      1
-## 2 -105.2811 2003      5
-## 3 -105.2811 2003     32
-## 4 -105.2811 2003     33
-## 5 -105.2811 2003     34
-## 6 -105.2811 2003     36
+## Error in head(boulder_daily_precip): object 'boulder_daily_precip' not found
 
 # view structure of data
 str(boulder_daily_precip)
-## 'data.frame':	792 obs. of  9 variables:
-##  $ DATE        : chr  "1/1/03" "1/5/03" "2/1/03" "2/2/03" ...
-##  $ DAILY_PRECIP: num  0e+00 1e+03 0e+00 1e+03 4e-01 ...
-##  $ STATION     : chr  "COOP:050843" "COOP:050843" "COOP:050843" "COOP:050843" ...
-##  $ STATION_NAME: chr  "BOULDER 2 CO US" "BOULDER 2 CO US" "BOULDER 2 CO US" "BOULDER 2 CO US" ...
-##  $ ELEVATION   : num  1650 1650 1650 1650 1650 ...
-##  $ LATITUDE    : num  40 40 40 40 40 ...
-##  $ LONGITUDE   : num  -105 -105 -105 -105 -105 ...
-##  $ YEAR        : int  2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 ...
-##  $ JULIAN      : int  1 5 32 33 34 36 37 38 41 49 ...
+## Error in str(boulder_daily_precip): object 'boulder_daily_precip' not found
 
 # are there any unusual / No data values?
 summary(boulder_daily_precip$DAILY_PRECIP)
-##     Min.  1st Qu.   Median     Mean  3rd Qu.     Max. 
-##    0.000    0.100    0.100    5.297    0.300 1000.000
+## Error in summary(boulder_daily_precip$DAILY_PRECIP): object 'boulder_daily_precip' not found
 max(boulder_daily_precip$DAILY_PRECIP)
-## [1] 999.99
+## Error in eval(expr, envir, enclos): object 'boulder_daily_precip' not found
 ```
 
 
@@ -192,7 +172,13 @@ Your final plot should look something like the plot below.
 
 
 
-![precip plot w fixed dates]({{ site.url }}/images/rfigs/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood04-precipitation-data-in-R/plot-precip-hourly-1.png)
+
+```
+## Error in file(file, "rt"): cannot open the connection
+## Error in as.Date(boulder_daily_precip$DATE, format = "%m/%d/%y"): object 'boulder_daily_precip' not found
+## Error in ggplot(data = boulder_daily_precip, aes(DATE, DAILY_PRECIP)): object 'boulder_daily_precip' not found
+## Error in eval(expr, envir, enclos): object 'prec_plot_daily' not found
+```
 
 <i fa fa-star></i>**Data Tip:**For a more thorough review of date/time classes, see the NEON tutorial
 <a href="http://www.neondataskills.org/R/time-series-convert-date-time-class-POSIX/" target="_blank"> *Dealing With Dates & Times in R - as.Date, POSIXct, POSIXlt*</a>.
@@ -241,6 +227,7 @@ pipes allow us to link multiple steps in one line.
 # subset 2 months around flood
 precip_boulder_AugOct <- boulder_daily_precip %>%
                         filter(DATE >= as.Date('2013-08-15') & DATE <= as.Date('2013-10-15'))
+## Error in eval(expr, envir, enclos): object 'boulder_daily_precip' not found
 ```
 
 In the code above, we use the pipe to send the boulder_daily_precip data through
@@ -264,6 +251,7 @@ precPlot_flood2 <- ggplot(data=precip_boulder_AugOct, aes(DATE,DAILY_PRECIP)) +
   ggtitle("Daily Total Precipitation Aug - Oct 2013 for Boulder Creek")
 
 precPlot_flood2
+## Error in eval(expr, envir, enclos): object 'DAILY_PRECIP' not found
 ```
 
 ![precip plot subset]({{ site.url }}/images/rfigs/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood04-precipitation-data-in-R/check-subset-1.png)
@@ -284,4 +272,9 @@ HINT: type ?lims in the console to see how the xlim and ylim arguments work.
 
 </div>
 
-![precip plot subset 2]({{ site.url }}/images/rfigs/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood04-precipitation-data-in-R/challenge-1.png)
+
+```
+## Error in eval(expr, envir, enclos): object 'boulder_daily_precip' not found
+## Error in ggplot(data = precip_boulder_AugOct_2012, aes(DATE, DAILY_PRECIP)): object 'precip_boulder_AugOct_2012' not found
+## Error in eval(expr, envir, enclos): object 'precPlot_flood_2012' not found
+```
diff --git a/_posts/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood05-USGS-Stream-Discharge-In-R.md b/_posts/course-materials/earth-analytics/week-2/hw-plot-precip-data/2016-12-06-flood05-USGS-Stream-Discharge-In-R.md
@@ -5,7 +5,7 @@ excerpt: "This lesson walks through the steps need to download and visualize
 USGS Stream Discharge data in R to better understand the drivers and impacts of
 the 2013 Colorado floods."
 authors: ['Leah Wasser', 'NEON Data Skills', 'Mariela Perignon']
-modified: 2017-01-06
+modified: 2017-01-12
 category: [course-materials]
 class-lesson: ['hw-ggplot2-r']
 week: 2
diff --git a/_posts/course-materials/earth-analytics/week-3/hw-markdown/2016-12-06-hw-markdown01.md b/_posts/course-materials/earth-analytics/week-3/hw-markdown/2016-12-06-hw-markdown01.md
diff --git a/_posts/course-materials/earth-analytics/week-3/lidar-intro/2016-12-06-raster01-lidar-data.md b/_posts/course-materials/earth-analytics/week-3/lidar-intro/2016-12-06-raster01-lidar-data.md
diff --git a/_posts/course-materials/earth-analytics/week-3/lidar-intro/2016-12-06-raster02-lidar-point-clouds.md b/_posts/course-materials/earth-analytics/week-3/lidar-intro/2016-12-06-raster02-lidar-point-clouds.md
diff --git a/_posts/course-materials/earth-analytics/week-3/lidar-intro/2016-12-06-raster03-lidar-raster-data.md b/_posts/course-materials/earth-analytics/week-3/lidar-intro/2016-12-06-raster03-lidar-raster-data.md
diff --git a/_posts/course-materials/earth-analytics/week-3/lidar-intro/2016-12-06-raster04-chm-dem-dsm.md b/_posts/course-materials/earth-analytics/week-3/lidar-intro/2016-12-06-raster04-chm-dem-dsm.md
diff --git a/processing-code/knitRMD-2-MD-all-new-files.R b/processing-code/knitRMD-2-MD-all-new-files.R
