knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
This page contains additional material like links to slides, video recordings, ohp pictures, and more ...
s_sl_url <- "https://charlotte-ngs.github.io/asmss2022/sl/" tbl_sl <- tibble::tibble(Nr = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12), Date = c("2022-02-21", "2022-02-28", "2022-02-28", "2022-03-07", "2022-03-14", "2022-03-21", "2022-03-28", "2022-04-04", "2022-04-25", "2022-05-02", "2022-05-09", "2022-05-16"), Topic = c( paste0("[Introduction](", s_sl_url, "asm-w01-v01-intro.pdf)", collapse = ""), paste0("[Linear Regression](", s_sl_url, "l02_regr.pdf)", collapse = ""), paste0("[Linear Regression (Part 2)](", s_sl_url, "l02_regr_part2.pdf)", collapse = ""), paste0("Fixed Linear Effects Model [org](", s_sl_url, "l03_flem.pdf) | [with notes](", s_sl_url, "l03_flem_with_notes.pdf)", collapse = ""), paste0("[Regression on Dummy Variables](", s_sl_url, "l04_regdvar.pdf)", collapse = ""), paste0("[Contrasts](", s_sl_url, "l05_contrasts.pdf)", collapse = ""), paste0("[Contrasts, Plots and Simulation](", s_sl_url, "l06_con_plot_sim.pdf)", collapse = ""), paste0("[Model Selection](", s_sl_url, "l07_model_selection.pdf)", collapse = ""), paste0("[Repeated Measures ANOVA and Random Effects Models](", s_sl_url, "l08_anova_rem.pdf)", collapse = ""), paste0("[Linear Mixed Effects Models](", s_sl_url, "l09_mlem.pdf)", collapse = ""), paste0("[Pedigree BLUP Sire Model](", s_sl_url, "l10_pblup_sire_model.pdf)", collapse = ""), paste0("[Animal Model and Genomic BLUP](", s_sl_url, "l12_animal_model_gblup.pdf)", collapse = "") )) knitr::kable(tbl_sl)
tbl_video <- tibble::tibble(Nr = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12), Date = c("2022-02-21", "2022-02-28", "2022-03-07", "2022-03-14", "2022-03-21", "2022-03-28", "2022-04-04", "2022-04-11", "2022-04-25", "2022-05-02", "2022-05-09", "2022-05-16"), Topic = c( "[Introduction](https://youtu.be/9XdsxWiXU90)", "[Linear Regression Analysis](https://youtu.be/RABkYT673HY)", "[Discrete Predictor Variables](https://youtu.be/r8RVceub6Dg)", "[Regression on Dummy Variables](https://youtu.be/ny9cUQAL0wU)", "[Generalized Inverses and Estimable Functions](https://youtu.be/OIrArr82MkA)", "[Contrasts in R, Plotting and Simulation](https://youtu.be/cKJRerCMVFc)", "[Model Selection](https://youtu.be/Kmu0aUJktkU)", "[Model Selection II](https://youtu.be/o2qWmcHdA3A)", "[Repeated Measures ANOVA and Random Effects Models](https://youtu.be/VNnmVci5gRw)", "[Random Effects and Mixed Effects](https://youtu.be/OW9iAUecAEA)", "Linear Mixed Effects Models [Part 1](https://youtu.be/KF0c8A9AavY) | [Part 2](https://youtu.be/WjZAKvt7NGU)", "[Animal Model and Genomic BLUP](https://youtu.be/3oUNGW5flks)" )) knitr::kable(tbl_video)
s_ohp_url <- "https://charlotte-ngs.github.io/asmss2022/ohp/" tbl_ohp <- tibble::tibble(Nr = c(1, 2), Date = c("2022-02-21", "2022-02-28"), Topic = c( paste0("[Introduction](", s_ohp_url, "20220221_ohp_pictures.pdf)", collapse = ""), paste0("[Linear Regression Analysis](", s_ohp_url, "20220228_ohp_pictures.pdf)") )) knitr::kable(tbl_ohp)
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