BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN CALSCALE:GREGORIAN X-WR-CALNAME:Calagator METHOD:PUBLISH VERSION:2.0 BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20160313T020000 RDATE:20160313T020000 RDATE:20170312T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20161106T020000 RDATE:20161106T020000 RDATE:20171105T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20160411T171728Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160712T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160712T183000 DTSTAMP;VALUE=DATE-TIME:20160411T171728Z LAST-MODIFIED;VALUE=DATE-TIME:20160411T171728Z UID:http://calagator.org/events/1250470103 DESCRIPTION:We'll have two talks this meetup: \;\n \;\n- Jim Walte r: Adapting A/B Testing To Software Performance And Efficiency \;\n& #13\;\n- Scott Chamberlain: request - an R library to make http requests a snap &\; http request caching \;\n \;\nDoors open after 6 pm . DO NOT SHOW UP BEFORE 6 PM. Talks start at 6:30 pm. Repeat: DO NOT SHO W UP BEFORE 6 PM. \;\n \;\nDoors are open at bottom\, take elevat or to 3rd floor\, door should be open for suite 320 \;\n \;\nWe'll visit a local watering hole afterwards. \;\n\n\nTags: programming\, r\, rstats\, testing\, http\, api\n\nImported from: http://calagator.or g/events/1250470103 URL:http://www.meetup.com/portland-r-user-group/events/230200855/ SUMMARY:pdxrlang meetup: Two talks: A/B testing analysis and http request s LOCATION:Mozilla: 1120 NW Couch St.\, Suite 320\, Portland Oregon 97209 U S SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20160722T151732Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160802T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160802T183000 DTSTAMP;VALUE=DATE-TIME:20160722T151732Z LAST-MODIFIED;VALUE=DATE-TIME:20160722T151732Z UID:http://calagator.org/events/1250470595 DESCRIPTION:pdxrlang Aggregate meetup No. 4! Everyone is welcome! \;\ n \;\nAgenda: \;\n \;\n• brief intro/R project or problem: We' ll go around the room\, each person talk about an R project they've been working on\, or a data/data-science problem\, or something they want to learn\, etc. \;\n \;\n• After going around the room\, anyone can share some code they've been working on and want help with / want feedb ack on. Make sure to have this ready before the meeting. Discuss here ht tps://github.com/pdxrlang/aggregate/issues/8 \;\n \;\n• Before arr iving\, use the pdxrlang/aggregate GitHub repository to discuss ideas fo r things to work on at aggregate -https://github.com/pdxrlang/aggregate/ issues \;\n \;\n• Do bring your computer (if you have one) in case you want to work on something. \n\nTags: programming\, r\, rstats\, net work\n\nImported from: http://calagator.org/events/1250470595 URL:http://www.meetup.com/portland-r-user-group/events/232134520/ SUMMARY:pdxrlang meetup: aggregate - meet\, greet\, learn\, collaborate LOCATION:WeWork Custom House: 220 Northwest 8th Avenue\, Portland OR 9720 9 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20160722T152446Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160808T190000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160808T173000 DTSTAMP;VALUE=DATE-TIME:20160722T152446Z LAST-MODIFIED;VALUE=DATE-TIME:20160722T152446Z UID:http://calagator.org/events/1250470596 DESCRIPTION:Sign up at: https://members.wework.com/events/david-robinson- broom-tidy-model-outputs-19084 - you must sign up at the link to be abl e to attend. \;\n \;\nSpeaker: David Robinson (http://varianceexpl ained.org/) - Data Scientist at StackOverflow \;\n \;\nDavid will talk about broom (https://github.com/dgrtwo/broom)\, his R package for t idying model outputs. \;\n\n\nTags: r\, rstats\, statistics\, modelin g\, data science\n\nImported from: http://calagator.org/events/125047059 6 URL:http://www.meetup.com/portland-r-user-group/events/232708517/ SUMMARY:pdxrlang meetup: David Robinson\, broom - tidy model outputs LOCATION:WeWork Custom House: 220 Northwest 8th Avenue\, Portland OR 9720 9 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20160620T175501Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160809T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160809T183000 DTSTAMP;VALUE=DATE-TIME:20160620T175501Z LAST-MODIFIED;VALUE=DATE-TIME:20160620T175501Z UID:http://calagator.org/events/1250470456 DESCRIPTION:Speaker: De'Mel Mojica \;\n \;\nAbstract: This talk wil l be on a general approach to automatically join large-scale\, geospatia l data across distinct data sets\, using a mix between Levenshtein Dista nce thresholds and Haversine Distance thresholds. This approach permits joining multiple data sets without the need to provide ad hoc normaliza tion conventions for each data resource. In addition\, this approach can be generalized beyond a geospatial field and applied any domain which r equires joining across two or more non-identical dimensions. \;\n \;\nWe'll visit a local watering hole afterwards. \n\nTags: api\, progra mming\, r\, rstats\, geospatial\, geo\, spatial\n\nImported from: http:/ /calagator.org/events/1250470456 URL:http://www.meetup.com/portland-r-user-group/events/230860024/ SUMMARY:pdxrlang meetup: Probabilistic Approaches to Multi-dimensional Fu zzy Joins: A GeoSpatial Example LOCATION:Mozilla: 1120 NW Couch St.\, Suite 320\, Portland Oregon 97209 U S SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20160620T175844Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160817T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160817T183000 DTSTAMP;VALUE=DATE-TIME:20160620T175844Z LAST-MODIFIED;VALUE=DATE-TIME:20160620T175844Z UID:http://calagator.org/events/1250470457 DESCRIPTION:Speaker: Chester Ismay (https://github.com/ismayc) - Instruct ional Technologist/Statistical Consultant at Reed College \;\n \; \nAbstract: One of the great recent additions from RStudio is the abilit y to create templates in R Markdown that allows R users to customize out put to a variety of document formats while only needing to write in Mark down. You can create templates for outputting Word documents\, HTML docu ments\, and PDF documents all including R code and its output. I’ll disc uss how to go about creating templates\, demonstrate an R Markdown senio r thesis template I created for Reed College seniors that interfaces wit h the traditional LaTeX thesis template\, and hopefully provide you with an opportunity to write a template of your own during this meeting.\n\n Tags: rmarkdown\, programming\, r\, rstats\, markdown\, templating\, edu cation\n\nImported from: http://calagator.org/events/1250470457 URL:http://www.meetup.com/portland-r-user-group/events/231100247/ SUMMARY:pdxrlang meetup: Chester Ismay - Creating and using templates in R Markdown LOCATION:WeWork US Custom House: 220 NW 8th Ave\, Portland OR 97209 SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20160722T152837Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161010T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161010T183000 DTSTAMP;VALUE=DATE-TIME:20160722T152837Z LAST-MODIFIED;VALUE=DATE-TIME:20160722T152837Z UID:http://calagator.org/events/1250470597 DESCRIPTION:To do data science you need five sets of verbs: import\, tidy \, transform\, visualise\, and model. Importantly\, you also need a way to connect these tools together so that your analysis flows from one ste p to another\, without you beating your head against the wall. In this t alk\, I discuss the idea of the pipe as it is implemented in R with the magrittr package. You’ll learn why the pipe makes your code easier to re ad\, and see how it provides a unifying interface throughout your comple te workflow. \;\n \;\nCome along to learn about why I think pipeli nes are awesome and see how pipelines + tidyr\, dplyr\, ggplot2\, and pu rrr can make your data analyses fast\, fluent and fun. I’m a passionate believer that code should be an artefact of clear communication\, so eve n if you’ve never used R before\, you’ll be able to follow this talk.\n\ nTags: r\, rstats\, data science\, data\, programming\n\nImported from: http://calagator.org/events/1250470597 URL:http://www.meetup.com/portland-r-user-group/events/232680753/ SUMMARY:pdxrlang meetup: Hadley Wickham - Data science with R LOCATION:Reed College\, Eliot Hall: false SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20160722T152837Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161010T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161010T183000 DTSTAMP;VALUE=DATE-TIME:20160722T152837Z LAST-MODIFIED;VALUE=DATE-TIME:20160810T024102Z UID:http://calagator.org/events/1250470598 DESCRIPTION:To do data science you need five sets of verbs: import\, tidy \, transform\, visualise\, and model. Importantly\, you also need a way to connect these tools together so that your analysis flows from one ste p to another\, without you beating your head against the wall. In this t alk\, I discuss the idea of the pipe as it is implemented in R with the magrittr package. You’ll learn why the pipe makes your code easier to re ad\, and see how it provides a unifying interface throughout your comple te workflow. \;\n \;\nCome along to learn about why I think pipeli nes are awesome and see how pipelines + tidyr\, dplyr\, ggplot2\, and pu rrr can make your data analyses fast\, fluent and fun. I’m a passionate believer that code should be an artefact of clear communication\, so eve n if you’ve never used R before\, you’ll be able to follow this talk.\n\ nTags: r\, rstats\, data science\, data\, programming\n\nImported from: http://calagator.org/events/1250470598 URL:http://www.meetup.com/portland-r-user-group/events/232680753/ SUMMARY:pdxrlang meetup: Hadley Wickham - Data science with R LOCATION:Reed College\, Eliot Hall: false SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20161019T205854Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161025T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161025T183000 DTSTAMP;VALUE=DATE-TIME:20161019T205854Z LAST-MODIFIED;VALUE=DATE-TIME:20161019T205854Z UID:http://calagator.org/events/1250470993 DESCRIPTION:Speaker: Tim Kaye \;\n \;\nTitle: Fun with data stream s in R \;\n \;\nAbstract: Often in practice\, not all of your data will have been generated or collected yet\, so you need to be able to p rocess that data and update your models on-the-fly. This talk will prov ide a brief exploration of streaming algorithms and how they can be used in R. The primary applications will be data mining for data streams and online inference using non-parametric Bayesian models. \;\n \;\n \;\nWe may visit a local watering hole afterwards\, or I may bring b everages. \n\nTags: data\, data science\, programming\, r\, rstats\, str eaming\n\nImported from: http://calagator.org/events/1250470993 URL:http://www.meetup.com/portland-r-user-group/events/233946514/ SUMMARY:pdxrlang meetup: Tim Kaye: Fun With Data Streams in R LOCATION:Lytics: 720 NW Davis St\, Portland OR 97209 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20170110T181055Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170110T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170110T180000 DTSTAMP;VALUE=DATE-TIME:20170110T181055Z LAST-MODIFIED;VALUE=DATE-TIME:20170110T181055Z UID:http://calagator.org/events/1250471311 DESCRIPTION:Women Who Code Portland and Portland R User Group are coming together to host a night full of talks on R and Machine Learning and an opportunity to network with like-minded individuals. \;\n \;\nPro gram \;\n \;\n6.00 - 6:30: Doors Open \;\n \;\n6.30 - 7:30: Talks \;\n \;\n7:30 - 8:00: Networking and wrap up. \;\n \;\ nTalk #1 - Predictive Analytics and Machine Learning in R - Myffy Hopkin s \;\n \;\nAll data has a story to tell. You can force a story upo n it\, or you can breath life into it to let it speak for itself. Myfanw y "\;Myffy"\; Hopkins has been using advanced statistical method s\, R\, and machine learning for over 10 years to transform data into in formation for decision making. The tools provided by R packages are unpa ralleled at quickly transforming data into a working predictive model. M yffy brings the statistical and data mining expertise needed to make R a highly productive space for generating predictive models using machine learning methods. In her talk\, Myffy will show how R makes the difficul t statistical concepts of Predictive Analytics manageable to execute. Se eing the actual results of a predictive model will help get through the more grueling parts of the learning curve to becoming a Data Scientist. \;\n \;\nTalk #2 - Automated Feature Selection of Predictors in E lectronic Medical Records Data - Jessica Minnier \;\n \;\nJessica Minnier is an assistant professor of biostatistics at Oregon Health & \; Sciences University in the OHSU-PSU School of Public Health. Her rese arch interests include statistical methods for risk prediction and class ification\, the analysis of 'omics data\, and the analysis of large data sets such as electronic health records data. She is interested in repro ducible research as well as statistical computing and data visualization with R and shiny. \;\n \;\nIn her talk\, Jessica will talk about "\;emrselect"\; - https://github.com/jminnier/emrselect. "\ ;emrselect"\; is an R package that automates the feature selection m ethod for phenotype prediction with Electronic Medical Record (EMR) data to reduce the number of candidate predictors and in turn improve model performance by relying entirely on unlabeled observations. The proposed method generates a comprehensive surrogate for the underlying phenotype with an unsupervised clustering of disease status based on several highl y predictive features such as diagnosis codes and mentions of the diseas e in text fields available in the entire set of EMR data. A sparse regre ssion model is then built with the estimated outcomes and remaining cova riates to identify those features most informative of the phenotype of i nterest. Empirical results suggest that this procedure reduces the numbe r of gold-standard labels necessary for phenotyping\, thereby harnessing the automated power of EMR data and improving efficiency. \;\n \ ;\nWho Should Attend? \;\n \;\nAnyone who is interested in explori ng the world of R and Machine Learning or just curious to learn what the y are. By attending our event\, you are agreeing to support our mission and follow our [Code of Conduct](https://github.com/WomenWhoCode/guideli nes-resources/blob/master/code_of_conduct.md).\n\nTags: r\, pdxrlang\, r stats\, machine learning\, women-who-code\n\nImported from: http://calag ator.org/events/1250471311 URL:https://www.meetup.com/portland-r-user-group/events/236640265/ SUMMARY:pdxrlang meetup: R and Machine Learning LOCATION:Cozy Portland Office: 3514 N. Vancouver Ave. 4th Floor\, Portlan d OR 97227 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20170110T181512Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170118T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170118T183000 DTSTAMP;VALUE=DATE-TIME:20170110T181512Z LAST-MODIFIED;VALUE=DATE-TIME:20170110T181512Z UID:http://calagator.org/events/1250471313 DESCRIPTION:Aggregate meetup No. 8! Everyone is welcome! \;\n \;\n Agenda: \;\n \;\n• brief intro/R project or problem: We'll go aro und the room\, each person talk about an R project they've been working on\, or a data/data-science problem\, or something they want to learn\, etc. \;\n \;\n• After going around the room\, anyone can share so me code they've been working on and want help with / want feedback on. M ake sure to have this ready before the meeting. Discuss here https://git hub.com/pdxrlang/aggregate/issues/8 \;\n \;\n• Before arriving\, u se the pdxrlang/aggregate GitHub repository to discuss ideas for things to work on at aggregate -https://github.com/pdxrlang/aggregate/issues 3\;\n \;\n• Do bring your computer (if you have one) in case you want to work on something. \n\nTags: pdxrlang\, r\, rstats\, aggregate\n\nIm ported from: http://calagator.org/events/1250471313 URL:https://www.meetup.com/portland-r-user-group/events/236220667/ SUMMARY:pdxrlang meetup: aggregate - meet\, greet\, learn\, collaborate LOCATION:WeWork Custom House: 220 Northwest 8th Avenue\, Portland OR 9720 9 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20170110T181640Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170213T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170213T183000 DTSTAMP;VALUE=DATE-TIME:20170110T181640Z LAST-MODIFIED;VALUE=DATE-TIME:20170110T181640Z UID:http://calagator.org/events/1250471314 DESCRIPTION:Speaker: Matt Laidler \;\n \;\nAbstract: R can be a po werful tool for the process of systematically tracking health-related ou tcomes (i.e. surveillance) identified from administrative data sources. Tracking health outcomes in populations often relies on coded administra tive data to standardize metrics and simplify processes. This may have t he effect of overlooking useful information described in free text data\ , but due to data volume/size\, may not be practical to process outside of text mining methods. This presentation will describe a use case of te xt mining and association rule mining in R for tracking health outcomes. \n\nTags: pdxrlang\, r\, rstats\, programming\, text-mining\, public hea lth\n\nImported from: http://calagator.org/events/1250471314 URL:https://www.meetup.com/portland-r-user-group/events/236703908/ SUMMARY:pdxrlang meetup: Text mining & association rule mining in R to en hance public health surveillance LOCATION:WeWork Custom House: 220 Northwest 8th Avenue\, Portland OR 9720 9 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20170508T181936Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170530T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170530T180000 DTSTAMP;VALUE=DATE-TIME:20170508T181936Z LAST-MODIFIED;VALUE=DATE-TIME:20170508T181936Z UID:http://calagator.org/events/1250471891 DESCRIPTION:**Speaker**: Chester Ismay (https://github.com/ismayc) - Inst ructional Technologist and Consultant for Data Science\, Statistics\, an d R at Reed College \;\n \;\n**Abstract**: In this talk\, I will discuss the motivation behind creating a data package using the data fro m the stories produced by FiveThirtyEight. I’ll also walk through the p rocess of creating a data package in R and some of the vignettes for the package that have been created by my students and others from throughou t the world. Lastly\, I’ll discuss some ideas (that I’d love to work wi th others on) for other data packages in R that can better serve the R c ommunity by helping novice and intermediate R users work with and tidy “ messy” data.\n\nTags: r\, rstats\, programming\, statistics\, journalism \, data\, pdxrlang\n\nImported from: http://calagator.org/events/1250471 891 URL:https://www.meetup.com/portland-r-user-group/events/239484692/ SUMMARY:pdxrlang meetup: Chester Ismay: Creating the fivethirtyeight R da ta package LOCATION:WeWork Custom House: 220 Northwest 8th Avenue\, Portland OR 9720 9 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20170323T183407Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170603T170000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170603T090000 DTSTAMP;VALUE=DATE-TIME:20170323T183407Z LAST-MODIFIED;VALUE=DATE-TIME:20170323T183407Z UID:http://calagator.org/events/1250471659 DESCRIPTION:Cascadia R Conference is an R conference serving the Cascadia -ish region (Oregon/Washington/BC). \;\n \;\nCheck out https://cas cadiarconf.com for details - that should be coming out soon.\n\nTags: r\ , rstats\, programming\, data science\, data\, datasets\, science\, stat istics\n\nImported from: http://calagator.org/events/1250471659 URL:https://cascadiarconf.com SUMMARY:CascadiaRConf LOCATION:OHSU Collaborative Life Sciences Building: 2730 SW Moody Ave\, P ortland OR 97201 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20170508T181610Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170603T190000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170603T090000 DTSTAMP;VALUE=DATE-TIME:20170508T181610Z LAST-MODIFIED;VALUE=DATE-TIME:20170508T181610Z UID:http://calagator.org/events/1250471890 DESCRIPTION:Cascadia R Conference is an R conference serving the Cascadia -ish region (Oregon/Washington/BC). \;\n \;\nThis is the first tim e this event has happened! \;\n \;\nTalk submissions are now close d but tickets are on sale: https://cascadiarconf.com/tickets/ \;\n 3\;\nSee the website for more information. \n\nTags: rstats\, r\, data s cience\, programming\, data analysis\, business intelligence\, analytics \, statistics\, python\, julia\n\nImported from: http://calagator.org/ev ents/1250471890 URL:https://cascadiarconf.com/ SUMMARY:CascadiaRConf LOCATION:OHSU Collaborative Life Sciences Building: 2730 SW Moody Ave\, P ortland OR 97201 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20170622T154918Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170711T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170711T180000 DTSTAMP;VALUE=DATE-TIME:20170622T154918Z LAST-MODIFIED;VALUE=DATE-TIME:20170622T154918Z UID:http://calagator.org/events/1250472115 DESCRIPTION:**Speaker**: Ted Laderas (http://laderast.github.io/) - Instr uctor\, Medical Informatics and Clinical Epidemiology\, OHSU \;\n \;\n**Abstract**: Many graduate students in the basic sciences are afrai d of data exploration and cleaning\, which can greatly impact their down stream analysis results. By using a synthetic dataset\, some simple `dpl yr` commands\, and a `shiny` dashboard\, we teach graduate students how to explore their data and how to handle issues that can arise (missing v alues\, differences in units). For this talk\, we'll run through a simpl e EDA example (combining two weight loss datasets) with a general data e xplorer in `shiny` that can be easily customized to teach specific EDA c oncepts.\n\nTags: pdxrlang\, r\, rstats\, statistics\, eda\, data\, data -analysis\, modeling\n\nImported from: http://calagator.org/events/12504 72115 URL:https://www.meetup.com/portland-r-user-group/events/240846589/ SUMMARY:pdxrlang meetup - Ted Laderas: How to not be afraid of your data - teaching EDA using Shiny LOCATION:WeWork Custom House: 220 Northwest 8th Avenue\, Portland OR 9720 9 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20170720T190131Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170816T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170816T183000 DTSTAMP;VALUE=DATE-TIME:20170720T190131Z LAST-MODIFIED;VALUE=DATE-TIME:20170720T190131Z UID:http://calagator.org/events/1250472251 DESCRIPTION:Aggregate meetup No. 13! Everyone is welcome! \;\n \; \nWe'll have pizza and drinks. \;\n \;\nAgenda: \;\n \;\n• brief intro/R project or problem: We'll go around the room\, each person talk about an R project they've been working on\, or a data/data-scienc e problem\, or something they want to learn\, etc. \;\n \;\n• Aft er going around the room\, anyone can share some code they've been worki ng on and want help with / want feedback on. Make sure to have this read y before the meeting. Discuss here https://github.com/pdxrlang/aggregate /issues/8 \;\n \;\n• Before arriving\, use the pdxrlang/aggregate GitHub repository to discuss ideas for things to work on at aggregate -h ttps://github.com/pdxrlang/aggregate/issues \;\n \;\n• Topics for the night so far: \;\n \;\n • coming soon ... \;\n \;\n• Do bring your computer (if you have one) in case you want to work on so mething. \n\nTags: r\, rstats\, programming\, data\, data-analysis\, sta tistics\n\nImported from: http://calagator.org/events/1250472251 URL:https://www.meetup.com/portland-r-user-group/events/241883694/ SUMMARY:pdxrlang meetup: aggregate - meet\, greet\, learn\, collaborate LOCATION:US Custom House / WeWork: 220 NW 8th Avenue\, Portland OR 97209 us SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20171219T184415Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20171219T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20171219T183000 DTSTAMP;VALUE=DATE-TIME:20171219T184415Z LAST-MODIFIED;VALUE=DATE-TIME:20171219T184415Z UID:http://calagator.org/events/1250473005 DESCRIPTION:Aggregate meetup No. 16! Everyone is welcome! \;\n \;\n We will not have pizza this time\, but we will have some drinks. \;\n \;\nAgenda: \;\n \;\n• brief intro/R project or problem: We'll go around the room\, each person talk about an R project they've been w orking on\, or a data/data-science problem\, or something they want to l earn\, etc. \;\n \;\n• After going around the room\, anyone can sh are some code they've been working on and want help with / want feedback on. Make sure to have this ready before the meeting. Discuss here https ://github.com/pdxrlang/aggregate/issues/8 \;\n \;\n• Before arrivi ng\, use the pdxrlang/aggregate GitHub repository to discuss ideas for t hings to work on at aggregate - https://github.com/pdxrlang/aggregate/is sues \;\n \;\n• Do bring your computer (if you have one) in case y ou want to demo something. \;\n \;\n• Time: 630pm - 8pm \;\n\n\ nTags: data\, data-analytics\, programming\, r\, rstats\, statistics\, m achine-learning\, vizualization\n\nImported from: http://calagator.org/e vents/1250473005 URL:https://www.meetup.com/portland-r-user-group/events/245289388/ SUMMARY:pdxrlang meetup: aggregate - meet\, greet\, learn\, collaborate LOCATION:US Custom House / WeWork: 220 NW 8th Avenue\, Portland OR 97209 us SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20171219T184704Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20180123T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20180123T183000 DTSTAMP;VALUE=DATE-TIME:20171219T184704Z LAST-MODIFIED;VALUE=DATE-TIME:20171219T184704Z UID:http://calagator.org/events/1250473006 DESCRIPTION:Aggregate meetup No. 17! Everyone is welcome! \;\n \;\n shiny (https://shiny.rstudio.com/) is a popular web application framewor k for making interactive visualizations and dashboards\, allowing R user s to share their analyses in an interactive format with minimal web prog ramming expertise. In this workshop\, we will produce a simple data expl oration dashboard with tooltips using the shiny\, ggplot2 and flexDashbo ard packages. I will introduce the basic concepts behind programming a s hiny application\, as well as some useful design patterns (reactives\, t ooltips\, observe/update/isolate). Basic familiarity with R programming concepts and `ggplot2` are suggested \;\n \;\nWe will not have piz za this time\, but we will have some drinks\, and perhaps some light sna cks. \;\n \;\nAgenda: \;\n \;\n* This aggregate will be a bi t different from the others. pdxrlang member Ted Laderas (http://laderas t.github.io/ - https://github.com/laderast) will give a workshop on usin g Shiny. More details to come! \;\n \;\n• Bring your computer! \;\n \;\n• Time: 630pm - 8pm\n\nTags: data\, data-analytics\, program ming\, r\, rstats\, statistics\, machine-learning\, vizualization\, shin y\n\nImported from: http://calagator.org/events/1250473006 URL:https://www.meetup.com/portland-r-user-group/events/245289388/ SUMMARY:pdxrlang meetup: aggregate - Shiny workshop LOCATION:US Custom House / WeWork: 220 NW 8th Avenue\, Portland OR 97209 us SEQUENCE:1 END:VEVENT END:VCALENDAR