diff --git a/A_-very-_short_introduction_to_R.html b/A_-very-_short_introduction_to_R.html new file mode 100644 index 0000000..8d45ab8 --- /dev/null +++ b/A_-very-_short_introduction_to_R.html @@ -0,0 +1,392 @@ + + + + +
+ + + + + + + + +This course is the swirl version of A +(very) short introduction to R. This document has 10 pages of +background and exercises and 2 pages listing useful functions (to use as +a reference). Working through this tutorial takes 1 to 2 hours +(depending on your background).
+Instead of reading the pdf and doing the ToDo exercises, you can also +go through the text and exercises interactively, using swirl. The +contents are the same (with a few exceptions), so you can open the pdf +version alongside to look up how to do something you learned before or +browse through the references on the last two pages.
+If you find any errors, please let me know on the issues +page.
+swirl::install_course("A_(very)_short_introduction_to_R")
+swirl::install_course()
in the R console.Basic introduction to data import, inspection and subsetting. Example data from physical geography / plant ecology. German course language facilitates first steps with R for german beginners. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+Basic introduction to data import, inspection and subsetting. Example +data from physical geography / plant ecology. German course language +facilitates first steps with R for german beginners. The course is part +of the e-learning program “RLab – Skriptbasierte modulare +Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.Introduction to ggplot2 with example data from physical geography / plant ecology. German course language facilitates first steps with R for german beginners. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+Introduction to ggplot2 with example data from physical geography / +plant ecology. German course language facilitates first steps with R for +german beginners. The course is part of the e-learning program “RLab – +Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.Basic descriptive statistics with example data from physical geography / climatology. German course language facilitates first steps with R for german beginners. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+Basic descriptive statistics with example data from physical +geography / climatology. German course language facilitates first steps +with R for german beginners. The course is part of the e-learning +program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.Extensive descriptive statistics including measures of dispersion, basic boxplots, t-test, ANOVA and correlation analysis. Example data from physical geography / soil science. German course language facilitates first steps with R for german beginners. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+Extensive descriptive statistics including measures of dispersion, +basic boxplots, t-test, ANOVA and correlation analysis. Example data +from physical geography / soil science. German course language +facilitates first steps with R for german beginners. The course is part +of the e-learning program “RLab – Skriptbasierte modulare +Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.Basic descriptive statistics and visualization of meteorologic time series data including dispersion analysis, F- and t-test. German course language facilitates first steps with R for german beginners. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+Basic descriptive statistics and visualization of meteorologic time +series data including dispersion analysis, F- and t-test. German course +language facilitates first steps with R for german beginners. The course +is part of the e-learning program “RLab – Skriptbasierte modulare +Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.Introduction to data preparation using tidyR and example data from marine ecosystem and fishery science. German course language facilitates first steps with R for german beginners. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+Introduction to data preparation using tidyR and example data from +marine ecosystem and fishery science. German course language facilitates +first steps with R for german beginners. The course is part of the +e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.Basic meteorologic time series data types, transformation, basic operations and visualization. German course language facilitates first steps with R for german beginners. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+Basic meteorologic time series data types, transformation, basic +operations and visualization. German course language facilitates first +steps with R for german beginners. The course is part of the e-learning +program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.Supplement to a course taught as part of the curriculum of the Master program MARSYS-MARine EcoSYStem and Fishery Sciences at the Institute of Marine Ecosystem and Fishery Science (IMF), University of Hamburg, Germany. The course introduces the principles of data science and how to mine out insights from data to understand complex behaviors, trends, and inferences. It teaches skills in three major areas with a focus on marine topics. However, the course can be utilized by any other scientist as key concepts are the same across disciplines. (https://mareds.github.io/r_course/index.html)
-Quiz questions in the lectures have been additionally converted into a swirl course. Now, students can answer the quiz questions directly from within R, without all the additional information shown in the slides. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+Supplement to a course taught as part of the curriculum of the Master +program MARSYS-MARine EcoSYStem and Fishery Sciences at the Institute of +Marine Ecosystem and Fishery Science (IMF), University of Hamburg, +Germany. The course introduces the principles of data science and how to +mine out insights from data to understand complex behaviors, trends, and +inferences. It teaches skills in three major areas with a focus on +marine topics. However, the course can be utilized by any other +scientist as key concepts are the same across disciplines. (https://mareds.github.io/r_course/index.html)
+Quiz questions in the lectures have been additionally converted into +a swirl course. Now, students can answer the quiz questions directly +from within R, without all the additional information shown in the +slides. The course is part of the e-learning program “RLab – +Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.Introduction to R basics, plotting with ggplot2, correlation and regression analysis. Example data from marine ecosystem and fishery science (Master program MARSYS-MARine EcoSYStem and Fishery Sciences at the Institute of Marine Ecosystem and Fishery Science (IMF), University of Hamburg, Germany). German course language facilitates first steps with R for german beginners. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+Introduction to R basics, plotting with ggplot2, correlation and +regression analysis. Example data from marine ecosystem and fishery +science (Master program MARSYS-MARine EcoSYStem and Fishery Sciences at +the Institute of Marine Ecosystem and Fishery Science (IMF), University +of Hamburg, Germany). German course language facilitates first steps +with R for german beginners. The course is part of the e-learning +program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.This course - Psychological Statistics You Can Handle (PSYCH) - is +meant to be paired with an Undergraduate Research Methods or Statistics +course, with notes that could serve up to early career graduate +students. It is meant to help teach students basic statistics using R in +an interactive framework. We take open data and replicate the results +(or discuss why sometimes we cannot replicate the results). Students +interact with many packages throughout this course, with the main ones +being the tidyverse (dplyr, tidyr, purrr, ggplot2), rstatix, and +emmeans.
+This course does not cover Baysian Statistics.
+This course was supported through the Society for the Improvement of +Psychological Science (SIPS) Grants-In-Aid to Reduce Barriers to +Improving Psychological Science.
+swirl::install_course("PSYCH")
+swirl::install_course()
in the R console.Consider making the hints actually hint-y. Currently, all hints +just give the answer.
Always looking for edits and other helpful tips - both for the +course itself and the Notes.R!
Look for collaborators! Are you interested in using this in your +course? Can we A/B test to see if it helps?
R as calculator, setting and cleaning up workspace, how to use R help and where to find support. German course language facilitates first steps with R for german beginners. The course is part of the e-learning program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF 01PL17033)
+R as calculator, setting and cleaning up workspace, how to use R help +and where to find support. German course language facilitates first +steps with R for german beginners. The course is part of the e-learning +program “RLab – Skriptbasierte modulare Umweltstatistik” (https://rlab.blogs.uni-hamburg.de, funded by BMBF +01PL17033)
swirl::install_course()
in the R console.Die Grundlagen der Programmierung in R (Übersetzung des Kurses R Programming durch PFH Göttingen).
+Die Grundlagen der Programmierung in R (Übersetzung des Kurses R +Programming durch PFH Göttingen).
swirl::install_course()
in the R console.The second course in the Mastering Software Development in R series.
+The second course in the Mastering Software Development in R +series.
swirl::install_course()
in the R console.Econometrics using R.
+swirl::install_course("Econometrics")
+swirl::install_course()
in the R console.swirl::install_course()
in the R console.swirl::install_course()
in the R console.An example course that instructors can use as a template for collecting students’ progress through a swirl course. This approach is recommended for courses that are taught in person.
+An example course that instructors can use as a template for +collecting students’ progress through a swirl course. This approach is +recommended for courses that are taught in person.
This website is a directory for free and open source swirl courses. If you’re completely new to R you should read this page first which will help you install R, RStudio, and swirl. If you’re set up with R and you’re looking for more swirl courses you can browse available courses by the name of the course or by the name of the author of the course. Click “Browse Courses” above to start browsing! If you’re looking for a course to start with we recommend the R Programming course.
+This website is a directory for free and open source swirl courses. +If you’re completely new to R you should read this page first which +will help you install R, RStudio, and swirl. If you’re set up with R and +you’re looking for more swirl courses you can browse available courses +by the name of the course or by the name of the author of the course. +Click “Browse Courses” above to start browsing! If you’re looking for a +course to start with we recommend the R +Programming course.
Team swirl’s ambition is for all publicly available swirl courses to be listed on this site. Adding your course to the Swirl Course Network offers several advantages:
+Team swirl’s ambition is for all publicly available swirl courses to +be listed on this site. Adding your course to the Swirl Course Network +offers several advantages:
install_course()
function.install_course()
+function.Click here to learn how to share your course on the Swirl Course Network.
+Click here +to learn how to share your course on the Swirl Course Network.
swirl::install_course()
in the R console.Regular Expressions are a fundamental tool in the hands of any programmer when it comes to working with strings. This course will provide an overview of what is possible with regular expressions as they are applied in R.
-Though different programming languages often possess their own conventions and flavor when it comes to regular expressions, the vast majority of the knowledge you will obtain from this course is transferable to regular expressions in other programming languages.
+Regular Expressions are a fundamental tool in the hands of any +programmer when it comes to working with strings. This course will +provide an overview of what is possible with regular expressions as they +are applied in R.
+Though different programming languages often possess their own +conventions and flavor when it comes to regular expressions, the vast +majority of the knowledge you will obtain from this course is +transferable to regular expressions in other programming languages.
swirl::install_course()
in the R console.The first course in the Mastering Software Development in R series.
+The first course in the Mastering Software Development in R +series.
swirl::install_course()
in the R console.swirl::install_course()
in the R console.swirl::install_course()
in the R console.