Thank you for your presentation. I wish I would have had opportunity to work on this transition. Really seems like it is so helpful to the company also helpful to SAS programmers to transition in their career as this is the way things are going. Look at the job requirements, all of these other languages are now, wanted.
@JD-xu6pyАй бұрын
Quarto is great! And even better than Latex can use Quarto with Typst!
@canareseАй бұрын
Its great for learning. I am getting errors such as Deprecated etc. Have any updated one?
@kennedymwavu2 ай бұрын
this is so cool!
@Smackerz19882 ай бұрын
Someone's an AEW Fan
@hemantishwaran57412 ай бұрын
Really great. Just wish you’d do things in base R. I’m an advanced user and avoid ggplot and tidyverse so wish you’d stop pushing those tools
@suryoputr93442 ай бұрын
I'm a newbie in R. Can you explain why would you avoid ggplot and tidyverse? Is there something inherently wrong in them?
@hemantishwaran57412 ай бұрын
@@suryoputr9344 As a developer, simpler is better. You want code that is easy to debug, easy to understand, and that will stand the test of time. Just using one command of tidyverse in an R package commits you to its ridiculously large number of dependencies which makes your code less stable. As for ggplot, it produces beautiful figures very quickly, but for EDA purposes you don't often need that and you will end up wasting time. Especially if you want to tweak your plot in any way that is different. As a newbie, you might appreciate the ease at which you can generate high quality graphics and the seemingly easy way to manipulate data with tidy verse, but as you get more advanced you will recognize them as being overly complicated.
@djangoworldwide7925Ай бұрын
@@suryoputr9344No reason. Learn and use the tidyverse.
@eubutuoy2 ай бұрын
What if you need to optimize two parameters from two different studies? For example, ka from oral bolus in vivo data and clearance from iv study? How do you optimize ka and clearance to fit both studies with one pbpk model?
@sunilgupta21562 ай бұрын
Thanks for a great presentation!
@mursalimali16293 ай бұрын
O
@marwolaeth1113 ай бұрын
That's fascinating! 🤩 Your team makes some of my dreams come true. I'll try my best to make the best use of it
@johnhhu21373 ай бұрын
cool
@haraldurkarlsson11474 ай бұрын
This is a very well constructed lecture and reproducible (all the data and source code is given on github). A nice scaffold to build your own lectures on and expand. My only complaint is that the transitions are often not clear and bit rugged (e.g. spend a lot time on LASSO but then use Logistic Regression).
@haraldurkarlsson11474 ай бұрын
If you are worried about which columns are picked in step_normalize() and you all want columns with values greater than 1 then I believe this code works: step_normalize(where(~is.numeric(.x) && any(.x > 1))). Now what the author uses in the video is more straight forward and thus simpler but if you have a lot of columns the first approach might be safer.
@haraldurkarlsson11474 ай бұрын
It is hard to sit there and look at a relatively small font (I know you can expand the view) on a light background and not get eye strain. I recommend using a dark background in RStudio.
@haraldurkarlsson11474 ай бұрын
If you are starting out with tidymodels then yo might be confused since a little of details are left out. Naturally you cannot cover such a big subject in a short lecture. Those needing more information might want to look at "Tidy Modeling with r" by Kuhn and Silge(2022). A free ebook version is available online.
@PositPBC4 ай бұрын
Really nice talk. Thank you for pioneering this work!
@dexterpante4 ай бұрын
Great video tutorial, looking forward for more {Teal} Tutorial
@RinPharma4 ай бұрын
We hope to have more at R in Pharma 2024 October 29, 30, & 31st. Workshops will run the week before.
@300yardcarry4 ай бұрын
cool!
@vinitakale88235 ай бұрын
On running the following code snippet # Baseline Characteristics ---- adsl_bl <- pre_adsl %>% derive_vars_transposed( select(vs, USUBJID, VSTESTCD, VSSTRESN, VSBLFL), # Dataset to transpose and merge onto by_vars = vars(USUBJID), # Merge keys key = VSTESTCD, # Names of transposed variables value = VSSTRESN, # Values of transposed variables filter = VSTESTCD %in% c("HEIGHT", "WEIGHT") & VSBLFL == "Y" # Restrict records to just height and weight ) %>% # Do some cleanup rename(HEIGHTBL = HEIGHT, WEIGHTBL = WEIGHT) %>% select(-VSBLFL) %>% mutate(BMIBL = compute_bmi(HEIGHTBL, WEIGHTBL)) I am getting the following error. Error in `assert_list_of()`: ! Each element of `arg` must be an object of class/type 'symbol' but the following are not: ✖ Element 1 is an object of class 'quosure' --- Backtrace: ▆ 1. ├─pre_adsl %>% ... 2. └─admiral::derive_vars_transposed(...) 3. └─admiraldev::assert_vars(by_vars) 4. └─admiraldev::assert_list_of(arg, "symbol", named = expect_names, optional = optional) Run rlang::last_trace(drop = FALSE) to see 1 hidden frame. Can you please guide?
@carvalhoribeiro5 ай бұрын
Great presentation. Thanks for sharing this.
@siriyaksiriyak60676 ай бұрын
good refresher, 😇
@ivorycloudofficial7 ай бұрын
Can you add timestamps/sections to your video please?
@haraldurkarlsson11477 ай бұрын
This is excellent! I like the level of depth.
@RinPharma4 ай бұрын
Great to hear! We hope to have more at R in Pharma 2024 October 29, 30, & 31st. Workshops will run the week before.
@abuyasinsabdahany32597 ай бұрын
Thank you
@fburton88 ай бұрын
Great demo, so informative! You explained Observable Plots really well.
@divanaristoburger82958 ай бұрын
This is amazing work!!
@gypcasinoable8 ай бұрын
The reports are just amazing. Thank you for sharing!
@meredith03229 ай бұрын
I'm able to install ggsurvfit package, but cannot library it. any suggestions for the issue?
@RinPharma7 ай бұрын
Hi @meredith0322 - you might ask the question here: github.com/pharmaverse/ggsurvfit/issues
@user-vb1ck9yq3y9 ай бұрын
This is outstanding presentation, I find it very useful. Thank you Daniel! Wojtek. W.
@fburton89 ай бұрын
Nice one!
@i.meijer-samson346610 ай бұрын
💡
@DieuwkeHettinga10 ай бұрын
🎉 wat een goede presentatie
@mikebartlett635610 ай бұрын
In 1997 CDISC was formed to harmonise data standards across the industry and there were just as many nay-sayers for that initiative. Their work continues and admiral's is just beginning by comparison. admiral has the potential to make a similar impact on the industry.
@newbestofthis442210 ай бұрын
Thank you! I signed up for this course when it first came out and Ilove it. I look forward to taking your new course. As a biostatistician in public health I was desperate to learn pharmaceuticals workflow and their reporting system, there isn't enough resources unfortunately especially for R.
@RinPharma10 ай бұрын
Connect with Michael on LinkedIn, if you’d like to continue the discussion after r/pharma: www.linkedin.com/in/michaelrimler/
@RinPharma10 ай бұрын
Project GitHub: github.com/phuse-org/OSTCDA Join the Discussions and leave your perspectives, opinions, links, references, presentations, to help us cultivate a comprehensive digest of the current state of the industry using OS tech for clinical data analytics and reporting
@RinPharma10 ай бұрын
Great talk!
@tataphani10 ай бұрын
Wonderful presentation
@ayushgupta773110 ай бұрын
Amazing
@mayank7jan10 ай бұрын
Thank you 🙏🏻
@RinPharma10 ай бұрын
github.com/agstn/RPharma23
@abhilashbhagat2949 Жыл бұрын
Lovely explanation John!
@PotatoesPlease31 Жыл бұрын
3rd Module starts at 1:14:20 4th Module starts at 1:31:05 5th 1:42:12 6th 2:11:54
@nndegwa1 Жыл бұрын
love it!
@chughag Жыл бұрын
Thank you Micheal, Atorus Research and R in Pharma for conducting this workshop and posting it online!! This is super helpful!!
@denizgoktas1535 Жыл бұрын
Thanks for this instructive and worable presentation.
@joycesposato5905 Жыл бұрын
5:23
@Ruben-un1mr Жыл бұрын
'Promosm' 🙈
@explore5709 Жыл бұрын
This video puts the mind of SAS Programmer at ease to some extent, that creating a Dataset in R is not that Hard. But at the end of the video it does feel what's will be the future of Clinical Programming ?
@nancyanderson5413 Жыл бұрын
Creating dataset is not hard at all in R, and SAS is so expensive, and all the certifications are extremely expensive too. R is a community of scientist, data scientist, and programmers that want people to really learn and understand. Also once you talk with a SAS representative and dig deeper they take a lot of the innovations of the R GNU community. The regular user of SAS does not realized that but the programmers do, and it is awful that a company make a lot of money taking what in reality is open source.
@fburton8 Жыл бұрын
The first link in the dooblydoo is the talk slides.
@PasqualeMerella Жыл бұрын
Thanks for the video. May I got a github source code of that app in R? thanks so much