class: center, middle, inverse, title-slide .title[ # Stat 585 - Syllabus discussion<br>Spring 2023 ] .author[ ### Heike Hofmann ] --- class: center, middle # Welcome to Data Technologies for Statistical Analysis --- ## Why Data Technologies? Not all data ... - lives in spread sheets, - is nice and clean, - fits in a machine's main memory. As statisticians we **cannot** always rely on other people and disciplines to get the data into a nice and tidy format. --- ## What are we going to do? This course deals with concepts, skills, and tools related to - acquiring and combining data from different sources, - rearranging and summarising data, - communicating methods and results in form of graphics, packages, and web applications. ... along the way ... make our process as transparent and reproducible as possible. --- ## Data comes in a lot of different formats ... as sound <audio controls> <source src="horse.ogg" type="audio/ogg"> <source src="data/i-like-statistics_hh.mp3" type="audio/mpeg"> Your browser does not support the audio element. </audio> ... as image <img src="data/striations.jpg" width=150> ... in a monitoring device <img src="data/fitbit.png" width=250> --- ## ```r library(tuneR) ils_class <- readWave("data/i-like-statistics_hh.wav") str(ils_class) ``` ``` ## Formal class 'Wave' [package "tuneR"] with 6 slots ## ..@ left : int [1:110592] 0 0 0 -1 2 -2 2 -2 1 -1 ... ## ..@ right : int [1:110592] -1 2 -2 2 -1 -1 2 -2 3 -3 ... ## ..@ stereo : logi TRUE ## ..@ samp.rate: int 44100 ## ..@ bit : int 16 ## ..@ pcm : logi TRUE ``` <!-- --> --- ## Data from images ```r library(magick) img <- image_read('data/imgres.jpg') image_info(img) ``` ``` ## format width height colorspace matte filesize density ## 1 JPEG 200 193 sRGB FALSE 9520 72x72 ``` <!-- --> ... what kind of birds are [these](data/imgres.jpg)? --- ## ... there's an R package for that! answer almost independent from the question asked ... obvious advantages disadvantages - finding a needle in a haystack? - problem of riches: which is the best solution, is there a good solution? - often a solution to a different problem - can we extend/append functionality? how? - packages are of varying quality - we need to be able to assess code for its performance ... these are some of the problems we will be dealing with. --- ## Syllabus Full syllabus is available in Canvas. ###Textbook (optional) - Hadley Wickham: [*Advanced Programming in R*](https://github.com/hadley/adv-r) - Hadley Wickham: [*R packages*](http://r-pkgs.had.co.nz/) - Yihui Xie: [*Dynamic Documents with R and knitr*](https://github.com/yihui/knitr-book) and [*bookdown: Authoring Books and Technical Documents with R Markdown*](https://bookdown.org/yihui/bookdown/) - additional readings Course website: - Materials, assignments, code: [https://stat585-at-isu.github.io/](https://stat585-at-isu.github.io/) - Canvas (for grades) --- ## Grades | Component | Weight | |:-- | --:| | Reading & Blogs | 15% | | Labs | 40% | | *Final Project* | | | report | 30% | | presentation | 15% | --- ## Blogs and Reading - assigned reading each week - write a blog entry in response to a related question - blog entries are due on midnight the following Thursday. - this week's reading and blog: later --- ## Labs - during class time on every other Thursday (starting with Thursday, Feb 2nd) - you will be partnered (randomly) in groups of 3 to 4 - lab assignments are designed to be finished during class time, but 'finishing touches' can be applied until the following Monday, 10pm. - if you cannot attend the lab, please let me know beforehand. Nevertheless, you are expected to do the work! --- ## Attendance - I expect you to attend class: there will be a substantial amount of time devoted to 'hands-on' examples on the computers. Make use of that time! - Class 'attendance': + in-person sessions at [1445 Lagomarcino](https://www.fpm.iastate.edu/roomscheduling/room.asp?room_id=128). + I will also provide a zoom link for synchronous attendance. In case you are 'zooming in'. Keep your microphone muted unless you ask a question, but turn the camera on. - In case you do not feel well, take care of yourself and stay home. However, you are expected to catch up with the material. <br><br> Questions? --- ## Stuck in a problem? How to get help There's lots of ways to get help in case you are stuck: 1. Google is your friend! in particular, stackoverflow and R help are usually great resources, 2. ask a team member, 3. write email to the instructor with your question, but please avoid any [lmgtfy](http://lmgtfy.com/?q=What+does+lmgtfy+mean?) questions! --- ## Asking good questions is a learned and valuable skill! Have a look at: - stackoverflow's [Asking a good question](http://stackoverflow.com/help/how-to-ask) - R's [Posting guidelines](https://www.r-project.org/posting-guide.html) - [minimal complete verifiable example](https://stackoverflow.com/help/mcve), [minimal reproducible example](https://www.tidyverse.org/help/) --- ## This week's blog post - Due Thursday midnight, Jan 26 - Reading material: follow the links on the previous page - What you are asked to do: on the R help or stackoverflow, answer at least one question - Document which question you answered (link to your answer). - Relate your experience of answering the question to your reading.