{"id":647,"date":"2018-06-21T12:22:19","date_gmt":"2018-06-21T12:22:19","guid":{"rendered":"http:\/\/aasc.blogs.auckland.ac.nz\/?page_id=647"},"modified":"2018-11-17T22:27:00","modified_gmt":"2018-11-17T22:27:00","slug":"workshops","status":"publish","type":"page","link":"https:\/\/www.aasc.nz\/workshops\/","title":{"rendered":"Workshops"},"content":{"rendered":"<p>[et_pb_section bb_built=&#8221;1&#8243; _builder_version=&#8221;3.0.47&#8243;][et_pb_row custom_padding=&#8221;0px|0px|0px|0px&#8221; _builder_version=&#8221;3.0.101&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;1_2&#8243;][et_pb_text _builder_version=&#8221;3.17.2&#8243;]<\/p>\n<table class=\"MsoTableGrid\" style=\"border-collapse: collapse; width: 621px;\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr style=\"mso-yfti-irow: 0; mso-yfti-firstrow: yes;\">\n<td style=\"width: 144px; border: 1pt solid windowtext; padding: 0cm 5.4pt;\" valign=\"top\"><\/td>\n<td style=\"width: 461px; border-color: windowtext windowtext windowtext currentcolor; border-style: solid solid solid none; border-width: 1pt 1pt 1pt medium; border-image: none 100% \/ 1 \/ 0 stretch; padding: 0cm 5.4pt;\" colspan=\"2\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><b style=\"mso-bidi-font-weight: normal;\">Monday<\/b><\/p>\n<\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 1;\">\n<td style=\"width: 144px; border-color: currentcolor windowtext windowtext; border-style: none solid solid; border-width: medium 1pt 1pt; border-image: none 100% \/ 1 \/ 0 stretch; padding: 0cm 5.4pt;\"><\/td>\n<td style=\"width: 461px; border-color: currentcolor windowtext windowtext currentcolor; border-style: none solid solid none; border-width: medium 1pt 1pt medium; padding: 0cm 5.4pt;\" colspan=\"2\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><b style=\"mso-bidi-font-weight: normal;\">3 December 2018<br \/>\n<\/b><\/p>\n<\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 2;\">\n<td style=\"width: 144px; border-color: currentcolor windowtext windowtext; border-style: none solid solid; border-width: medium 1pt 1pt; border-image: none 100% \/ 1 \/ 0 stretch; padding: 0cm 5.4pt;\"><\/td>\n<td style=\"width: 461px; border-color: currentcolor windowtext windowtext currentcolor; border-style: none solid solid none; border-width: medium 1pt 1pt medium; padding: 0cm 5.4pt;\" colspan=\"2\" valign=\"top\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><b style=\"mso-bidi-font-weight: normal;\"><i style=\"mso-bidi-font-style: normal;\"><span style=\"font-size: 14.0pt; line-height: 106%;\">Workshops<\/span><\/i><\/b><\/p>\n<\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 3; height: 23.25pt;\">\n<td style=\"width: 144px; border-color: currentcolor windowtext windowtext; border-style: none solid solid; border-width: medium 1pt 1pt; border-image: none 100% \/ 1 \/ 0 stretch; padding: 0cm 5.4pt; height: 23.25pt;\" rowspan=\"3\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><b style=\"mso-bidi-font-weight: normal;\">Morning<\/b><\/p>\n<p align=\"center\">8:30-12:30<\/p>\n<\/td>\n<td style=\"width: 235.85px; border-color: currentcolor windowtext windowtext currentcolor; border-style: none solid solid none; border-width: medium 1pt 1pt medium; background: #f0ffe1 none repeat scroll 0% 0%; padding: 0cm 5.4pt; height: 23.25pt;\" rowspan=\"3\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><b style=\"mso-bidi-font-weight: normal;\">Chris Auld<\/b><\/p>\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><span style=\"font-size: 9.0pt; line-height: 106%;\">(Microsoft)<\/span><\/p>\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\">1. Scaling R in the Cloud with doAzureParallel<\/p>\n<p align=\"center\">\n<\/td>\n<td style=\"width: 225.15px; border-color: currentcolor windowtext windowtext currentcolor; border-style: none solid solid none; border-width: medium 1pt 1pt medium; background: #f0ffe1 none repeat scroll 0% 0%; padding: 0cm 5.4pt; height: 23.25pt;\" rowspan=\"3\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><b style=\"mso-bidi-font-weight: normal;\">Roger Payne<\/b><\/p>\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><span style=\"font-size: 9.0pt; line-height: 106%;\">(VSNi)<\/span><\/p>\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\">2. Genstat 19ed masterclass<\/p>\n<\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 4; height: 14.3pt;\">\n<td style=\"height: 14.3pt; width: 18px;\" height=\"19\"><\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 5; height: 23.25pt;\">\n<td style=\"height: 23.25pt; width: 18px;\" height=\"31\"><\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 6; height: 36.5pt;\">\n<td style=\"width: 605px; border-color: currentcolor windowtext windowtext; border-style: none solid solid; border-width: medium 1pt 1pt; border-image: none 100% \/ 1 \/ 0 stretch; padding: 0cm 5.4pt; height: 36.5pt;\" colspan=\"3\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><span style=\"font-size: 14pt;\"><em><b style=\"mso-bidi-font-weight: normal;\"><span style=\"line-height: 106%;\">Lunch<\/span><\/b><\/em><\/span><\/p>\n<\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 7; height: 36.5pt;\">\n<td style=\"width: 144px; border-color: currentcolor windowtext windowtext; border-style: none solid solid; border-width: medium 1pt 1pt; border-image: none 100% \/ 1 \/ 0 stretch; padding: 0cm 5.4pt; height: 36.5pt;\" rowspan=\"3\" valign=\"top\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><b style=\"mso-bidi-font-weight: normal;\">Afternoon<\/b><\/p>\n<p align=\"center\">1:30-5:30<\/p>\n<\/td>\n<td style=\"width: 235.85px; border-color: currentcolor windowtext windowtext currentcolor; border-style: none solid solid none; border-width: medium 1pt 1pt medium; background: #c5e0b3 none repeat scroll 0% 0%; padding: 0cm 5.4pt; height: 36.5pt;\" rowspan=\"3\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><b style=\"mso-bidi-font-weight: normal;\">Peter Baker<\/b><\/p>\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><span style=\"font-size: 9.0pt; line-height: 106%;\">(University of Queensland)<\/span><\/p>\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\">3. Tools for efficient<br \/>\ndata analysis workflow and reproducible research<\/p>\n<\/td>\n<td style=\"width: 225.15px; border-color: currentcolor windowtext windowtext currentcolor; border-style: none solid solid none; border-width: medium 1pt 1pt medium; background: #c5e0b3 none repeat scroll 0% 0%; padding: 0cm 5.4pt; height: 36.5pt;\" rowspan=\"3\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><b style=\"mso-bidi-font-weight: normal;\">Salvador Gezan<\/b><\/p>\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><span style=\"font-size: 9.0pt; line-height: 106%;\">(University<br \/>\nof Florida)<\/span><\/p>\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\">4.\u00a0\u00a0Modelling correlations between observations in agricultural and environmental sciences with ASReml-R<\/p>\n<\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 8; height: 14.3pt;\"><!-- [if !supportMisalignedRows]--><\/p>\n<td style=\"height: 14.3pt; width: 18px;\" height=\"19\"><\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 9; height: 36.5pt;\"><!-- [if !supportMisalignedRows]--><\/p>\n<td style=\"height: 36.5pt; width: 18px;\" height=\"49\"><\/td>\n<\/tr>\n<tr style=\"mso-yfti-irow: 10; mso-yfti-lastrow: yes; height: 36.5pt;\">\n<td style=\"width: 144px; border-color: currentcolor windowtext windowtext; border-style: none solid solid; border-width: medium 1pt 1pt; border-image: none 100% \/ 1 \/ 0 stretch; padding: 0cm 5.4pt; height: 36.5pt; text-align: center;\">\u00a05:30<\/td>\n<td style=\"width: 461px; border-color: currentcolor windowtext windowtext currentcolor; border-style: none solid solid none; border-width: medium 1pt 1pt medium; background: #ffe1ff none repeat scroll 0% 0%; padding: 0cm 5.4pt; height: 36.5pt;\" colspan=\"2\">\n<p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: center;\" align=\"center\"><span style=\"font-size: 14pt;\"><em><b style=\"mso-bidi-font-weight: normal;\"><span style=\"line-height: 106%;\">Welcome Reception <\/span><\/b><\/em><\/span><\/p>\n<\/td>\n<td style=\"height: 36.5pt; width: 18px;\" height=\"49\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243;][et_pb_cta _builder_version=&#8221;3.0.101&#8243; button_text=&#8221;Conference Registration&#8221; button_url=&#8221;https:\/\/uoaevents.eventsair.com\/aasc-2018\/std-reg&#8221; url_new_window=&#8221;off&#8221; use_background_color=&#8221;on&#8221; background_layout=&#8221;dark&#8221; custom_button=&#8221;off&#8221; button_icon_placement=&#8221;right&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_start=&#8221;#2268ad&#8221; background_color_gradient_end=&#8221;#11664e&#8221; button_text_size__hover_enabled=&#8221;off&#8221; button_text_size__hover=&#8221;null&#8221; button_one_text_size__hover_enabled=&#8221;off&#8221; button_one_text_size__hover=&#8221;null&#8221; button_two_text_size__hover_enabled=&#8221;off&#8221; button_two_text_size__hover=&#8221;null&#8221; button_text_color__hover_enabled=&#8221;off&#8221; button_text_color__hover=&#8221;null&#8221; button_one_text_color__hover_enabled=&#8221;off&#8221; button_one_text_color__hover=&#8221;null&#8221; button_two_text_color__hover_enabled=&#8221;off&#8221; button_two_text_color__hover=&#8221;null&#8221; button_border_width__hover_enabled=&#8221;off&#8221; button_border_width__hover=&#8221;null&#8221; button_one_border_width__hover_enabled=&#8221;off&#8221; button_one_border_width__hover=&#8221;null&#8221; button_two_border_width__hover_enabled=&#8221;off&#8221; button_two_border_width__hover=&#8221;null&#8221; button_border_color__hover_enabled=&#8221;off&#8221; button_border_color__hover=&#8221;null&#8221; button_one_border_color__hover_enabled=&#8221;off&#8221; button_one_border_color__hover=&#8221;null&#8221; button_two_border_color__hover_enabled=&#8221;off&#8221; button_two_border_color__hover=&#8221;null&#8221; button_border_radius__hover_enabled=&#8221;off&#8221; button_border_radius__hover=&#8221;null&#8221; button_one_border_radius__hover_enabled=&#8221;off&#8221; button_one_border_radius__hover=&#8221;null&#8221; button_two_border_radius__hover_enabled=&#8221;off&#8221; button_two_border_radius__hover=&#8221;null&#8221; button_letter_spacing__hover_enabled=&#8221;off&#8221; button_letter_spacing__hover=&#8221;null&#8221; button_one_letter_spacing__hover_enabled=&#8221;off&#8221; button_one_letter_spacing__hover=&#8221;null&#8221; button_two_letter_spacing__hover_enabled=&#8221;off&#8221; button_two_letter_spacing__hover=&#8221;null&#8221; button_bg_color__hover_enabled=&#8221;off&#8221; button_bg_color__hover=&#8221;null&#8221; button_one_bg_color__hover_enabled=&#8221;off&#8221; button_one_bg_color__hover=&#8221;null&#8221; button_two_bg_color__hover_enabled=&#8221;off&#8221; button_two_bg_color__hover=&#8221;null&#8221;]<\/p>\n<p>Book for Conference + Optional Workshops + Optional Excursions + Optional Guest Dinner Tickets<\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_cta][et_pb_cta button_url=&#8221;https:\/\/uoaevents.eventsair.com\/aasc-2018\/workshops\/Site\/Register&#8221; button_text=&#8221;Register for Workshops Only&#8221; _builder_version=&#8221;3.0.101&#8243; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_start=&#8221;#00457d&#8221; background_color_gradient_end=&#8221;#1e961c&#8221; url_new_window=&#8221;off&#8221; use_background_color=&#8221;on&#8221; background_layout=&#8221;dark&#8221; custom_button=&#8221;off&#8221; button_icon_placement=&#8221;right&#8221; button_text_size__hover_enabled=&#8221;off&#8221; button_text_size__hover=&#8221;null&#8221; button_one_text_size__hover_enabled=&#8221;off&#8221; button_one_text_size__hover=&#8221;null&#8221; button_two_text_size__hover_enabled=&#8221;off&#8221; button_two_text_size__hover=&#8221;null&#8221; button_text_color__hover_enabled=&#8221;off&#8221; button_text_color__hover=&#8221;null&#8221; button_one_text_color__hover_enabled=&#8221;off&#8221; button_one_text_color__hover=&#8221;null&#8221; button_two_text_color__hover_enabled=&#8221;off&#8221; button_two_text_color__hover=&#8221;null&#8221; button_border_width__hover_enabled=&#8221;off&#8221; button_border_width__hover=&#8221;null&#8221; button_one_border_width__hover_enabled=&#8221;off&#8221; button_one_border_width__hover=&#8221;null&#8221; button_two_border_width__hover_enabled=&#8221;off&#8221; button_two_border_width__hover=&#8221;null&#8221; button_border_color__hover_enabled=&#8221;off&#8221; button_border_color__hover=&#8221;null&#8221; button_one_border_color__hover_enabled=&#8221;off&#8221; button_one_border_color__hover=&#8221;null&#8221; button_two_border_color__hover_enabled=&#8221;off&#8221; button_two_border_color__hover=&#8221;null&#8221; button_border_radius__hover_enabled=&#8221;off&#8221; button_border_radius__hover=&#8221;null&#8221; button_one_border_radius__hover_enabled=&#8221;off&#8221; button_one_border_radius__hover=&#8221;null&#8221; button_two_border_radius__hover_enabled=&#8221;off&#8221; button_two_border_radius__hover=&#8221;null&#8221; button_letter_spacing__hover_enabled=&#8221;off&#8221; button_letter_spacing__hover=&#8221;null&#8221; button_one_letter_spacing__hover_enabled=&#8221;off&#8221; button_one_letter_spacing__hover=&#8221;null&#8221; button_two_letter_spacing__hover_enabled=&#8221;off&#8221; button_two_letter_spacing__hover=&#8221;null&#8221; button_bg_color__hover_enabled=&#8221;off&#8221; button_bg_color__hover=&#8221;null&#8221; button_one_bg_color__hover_enabled=&#8221;off&#8221; button_one_bg_color__hover=&#8221;null&#8221; button_two_bg_color__hover_enabled=&#8221;off&#8221; button_two_bg_color__hover=&#8221;null&#8221;]<\/p>\n<h3 style=\"text-align: center;\">Book for Workshops Only<\/h3>\n<ul>\n<li style=\"text-align: left;\">Book one workshop (1, 2, 3 or 4)<\/li>\n<li style=\"text-align: left;\">Book two workshops (one morning and one afternoon)<\/li>\n<li style=\"text-align: left;\">You can book workshops even if you are <strong>NOT <\/strong>attending the conference<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_cta][et_pb_text _builder_version=&#8221;3.0.101&#8243; background_layout=&#8221;light&#8221;]<\/p>\n<p>All online registration forms require credit card payment. If you would like to be invoiced and\/or pay by an alternative method, please contact\u00a0Samantha Barrett (<a href=\"mailto:s.barrett@auckland.ac.nz\">s.barrett@auckland.ac.nz<\/a>).<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;3.0.47&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;4_4&#8243;][et_pb_text _builder_version=&#8221;3.0.101&#8243; background_layout=&#8221;light&#8221;]<\/p>\n<h3><span class=\"s2\"><span class=\"bumpedFont15\">Workshops<\/span><\/span><\/h3>\n<h4><span class=\"s2\"><span class=\"bumpedFont15\">Monday 3<\/span><\/span><span class=\"s3\"><span class=\"bumpedFont15\">rd<\/span><\/span><span class=\"s2\"><span class=\"bumpedFont15\"> December<\/span><\/span><\/h4>\n<p>[\/et_pb_text][et_pb_tabs _builder_version=&#8221;3.17.2&#8243;][et_pb_tab _builder_version=&#8221;3.17.2&#8243; title=&#8221;Morning&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; background_color_gradient_overlays_image=&#8221;off&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221; background_video_pause_outside_viewport=&#8221;on&#8221; tab_text_shadow_style=&#8221;none&#8221; body_text_shadow_style=&#8221;none&#8221; tab_text_shadow_horizontal_length=&#8221;0em&#8221; tab_text_shadow_vertical_length=&#8221;0em&#8221; tab_text_shadow_blur_strength=&#8221;0em&#8221; body_text_shadow_horizontal_length=&#8221;0em&#8221; body_text_shadow_vertical_length=&#8221;0em&#8221; body_text_shadow_blur_strength=&#8221;0em&#8221;]<\/p>\n<h3><strong><span class=\"s5\">Morning Workshops<\/span><\/strong><\/h3>\n<h5><strong><span class=\"s6\">Workshop 1<\/span><\/strong><\/h5>\n<p><strong><span class=\"s6\">Scaling R in the Cloud with doAzureParallel<\/span><\/strong><\/p>\n<p><em><span class=\"s6\">Presenters: <\/span>Chris Auld and Nigel Parker, Microsoft<\/em><\/p>\n<p>This workshop will equip attendees with the skills to scale their R workloads into the cloud. Cloud computing offers the promise of near infinite computing power on tap. The <em>doAzureParallel<\/em> package is a parallel backend that integrates with the native <em>parallel<\/em> support provided by the R runtime from v2.14. With <em>doAzureParallel<\/em>, each iteration of the loop runs in parallel on a pool of Virtual Machines (VM) in the cloud, allowing users to scale up their R jobs to tens to thousands of CPU cores.<\/p>\n<p>In this workshop we will cover:<\/p>\n<ul>\n<li>Simulation and optimization at scale. Using monte carlo methods, attendees will learn general purpose approaches to executing and reproducing simulation workloads at scale.<\/li>\n<li>Parallelism of data intensive tasks such as ETL and feature engineering. This will include approaches to scaling <em>plyr<\/em> and <em>data.table<\/em> based manipulations.<\/li>\n<li>The use of <em>doAzureParallel<\/em> with the two key machine learning meta-frameworks; <em>caret <\/em>\u00a0and <em>mlr<\/em>. We will cover the use of parallel computing for k-fold cross-validation and hyper-parameter optimization.<\/li>\n<\/ul>\n<p>This is a <strong>hands on workshop<\/strong>. Attendees should have had some experience working with the R language before and should bring along a machine (Windows, Mac, Linux all great) running a recent build of R and the editor of their choice. Cloud computing access will be provided on the day.<\/p>\n<h5><strong><span class=\"s6\">Workshop 2<\/span><\/strong><\/h5>\n<p><strong><span class=\"s6\">Genstat 19ed Masterclass: how to get the analyses you need, the output you want, and the graphs you prefer<\/span><\/strong><\/p>\n<p><em><span class=\"s6\">Presenters:<\/span> Roger Payne, David Baird and Vanessa Cave, VSNi<\/em><\/p>\n<p>In this workshop we will help you to master recent new features that make it easier for you to identify and validate the most appropriate model, produce graphs in the styles that you prefer, and archive results for convenient future use.<\/p>\n<p>Topics will include:<\/p>\n<ul>\n<li>manipulating and validating complicated data sets<\/li>\n<li>finding the best REML model for single and series of trials<\/li>\n<li>meta-analysis of series of trials<\/li>\n<li>checking the validity of your analysis<\/li>\n<li>saving and archiving results<\/li>\n<li>exploiting new flexibility in the graphics menus<\/li>\n<li>customizing the plots<\/li>\n<li>producing publication-quality graphs<\/li>\n<li>producing multi-paged PDF files directly from batch jobs<\/li>\n<li>use of the new foreign language\/Unicode text facilities in Genstat 19.2<\/li>\n<\/ul>\n<p>The sessions will involve a mixture of examples and practicals. So please bring your laptops (ideally with Genstat 19ed already installed).<\/p>\n<p>[\/et_pb_tab][et_pb_tab _builder_version=&#8221;3.17.2&#8243; title=&#8221;Afternoon&#8221; use_background_color_gradient=&#8221;off&#8221; background_color_gradient_start=&#8221;#2b87da&#8221; background_color_gradient_end=&#8221;#29c4a9&#8243; background_color_gradient_type=&#8221;linear&#8221; background_color_gradient_direction=&#8221;180deg&#8221; background_color_gradient_direction_radial=&#8221;center&#8221; background_color_gradient_start_position=&#8221;0%&#8221; background_color_gradient_end_position=&#8221;100%&#8221; background_color_gradient_overlays_image=&#8221;off&#8221; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221; background_size=&#8221;cover&#8221; background_position=&#8221;center&#8221; background_repeat=&#8221;no-repeat&#8221; background_blend=&#8221;normal&#8221; allow_player_pause=&#8221;off&#8221; background_video_pause_outside_viewport=&#8221;on&#8221; tab_text_shadow_style=&#8221;none&#8221; body_text_shadow_style=&#8221;none&#8221; tab_text_shadow_horizontal_length=&#8221;0em&#8221; tab_text_shadow_vertical_length=&#8221;0em&#8221; tab_text_shadow_blur_strength=&#8221;0em&#8221; body_text_shadow_horizontal_length=&#8221;0em&#8221; body_text_shadow_vertical_length=&#8221;0em&#8221; body_text_shadow_blur_strength=&#8221;0em&#8221; link_option_url_new_window=&#8221;off&#8221; hover_transition_duration=&#8221;300ms&#8221; hover_transition_delay=&#8221;0ms&#8221; hover_transition_speed_curve=&#8221;ease&#8221;]<\/p>\n<h3><strong><span class=\"s5\">Afternoon Workshops<\/span><\/strong><\/h3>\n<h5><strong><span class=\"s6\">Workshop 3 <\/span><\/strong><\/h5>\n<p><strong><span class=\"s6\">Tools for Efficient Data Analysis Workflow and Reproducible Research<\/span><\/strong><\/p>\n<p><em><span class=\"s6\">Presenter: <\/span>Peter Baker, University of Queensland<\/em><\/p>\n<p>Researchers and statistical consultants are drowning in data. In my early career, computer processing power and storage were limited and so we spent a considerable amount of time formulating strategies to efficiently manipulate data and focus on the analysis of relatively small data sets or subsets of larger ones. The day I started as a biometrician with NSW Agriculture, my boss told me that 80% of a biometrician&#8217;s time was spent organising and cleaning data for analysis. Given today&#8217;s powerful computing environments we might think that things would be easier but it appears that the 80% figure is still the case. Indeed, due to larger data sets and competing demands for our time, many data analysts face problems with organising their workflow. This tutorial provides a hands-on introduction to computing oriented strategies for the workflow of research data management and data analysis. The ideas presented in this tutorial follow Long&#8217;s 2009 book on the workflow of data analysis using STATA which provides a useful guide to managing the workflow for data analysis in large projects. However, Long&#8217;s approach concentrates on manual methods for implementing steps in the workflow. Efficient computing solutions are available for most steps in the process. Programming tools like GNU Make for managing workflow and regenerating output, GNU git for version control, GNU R functions and packages for repetitive tasks and finally R Markdown for producing reports directly from analyses. Generic and statistical software specific tools are presented. These tools are incorporated into hands on exercises. Keywords: Data analysis, DRY (Don&#8217;t Repeat Yourself) workflow, version control, Make, R, project management<\/p>\n<h5><strong><span class=\"s6\">Workshop 4 <\/span><\/strong><\/h5>\n<p><strong>Modelling correlations between observations in agricultural and environmental sciences with ASReml-R<\/strong><\/p>\n<p><em><span class=\"s6\">Presenter:<\/span> Salvador Gezan, University of Florida<\/em><\/p>\n<p>This \u00bd day workshop will concentrate on the statistical analysis of observations that present some form of temporal, genetical or spatial correlations as found on field or laboratory studies. The aim is to illustrate how to analyze this data using the framework of linear mixed models with the software ASReml-R.<\/p>\n<p>This workshop will consist of several small sessions starting with a brief introduction to the command syntax for ASReml as implemented in R, followed by topics related to repeated measures (random regression), genetic relatedness, and spatial analyses using many examples from agricultural and environmental sciences. Some theoretical aspects will be presented for the construction of the models, but the focus will be on the practical issues and interpretation of the results. All sessions will be led by Dr. Salvador Gezan.<\/p>\n<p>[\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Monday 3 December 2018 Workshops Morning 8:30-12:30 Chris Auld (Microsoft) 1. Scaling R in the Cloud with doAzureParallel Roger Payne (VSNi) 2. Genstat 19ed masterclass Lunch Afternoon 1:30-5:30 Peter Baker (University of Queensland) 3. Tools for efficient data analysis workflow and reproducible research Salvador Gezan (University of Florida) 4.\u00a0\u00a0Modelling correlations between observations in agricultural and [&hellip;]<\/p>\n","protected":false},"author":179,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"_links":{"self":[{"href":"https:\/\/www.aasc.nz\/wp-json\/wp\/v2\/pages\/647"}],"collection":[{"href":"https:\/\/www.aasc.nz\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aasc.nz\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aasc.nz\/wp-json\/wp\/v2\/users\/179"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aasc.nz\/wp-json\/wp\/v2\/comments?post=647"}],"version-history":[{"count":66,"href":"https:\/\/www.aasc.nz\/wp-json\/wp\/v2\/pages\/647\/revisions"}],"predecessor-version":[{"id":926,"href":"https:\/\/www.aasc.nz\/wp-json\/wp\/v2\/pages\/647\/revisions\/926"}],"wp:attachment":[{"href":"https:\/\/www.aasc.nz\/wp-json\/wp\/v2\/media?parent=647"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}