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Duke Center for Computational Thinking
Duke Center for Computational Thinking
Duke Center for Computational Thinking
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Training AI: Fine-Tuning a Chatbot for Duke
3:17
4 месяца назад
Revolutionizing Data Analysis with AI and AWS
3:21
7 месяцев назад
Data Archiving and Publishing
4:48
Год назад
Workflow: A Case Study
11:25
Год назад
Case Study Repositories
4:29
Год назад
Tenets of Reproduciblity
4:01
Год назад
Coding Notebooks
3:02
Год назад
Repository Hosting (GitHub)
3:47
Год назад
Project Management Foundations
3:58
Год назад
Version Control (Git)
2:21
Год назад
What is Reproducibility?
3:55
Год назад
Ways of Being in the World
7:35
Год назад
What is Open Design?
5:58
Год назад
Комментарии
@karmacalleduvebeenbad2705
@karmacalleduvebeenbad2705 10 часов назад
Best of luck! Look into endocrine disrupting chemicals also, epa estimated daily exposure is 87,000 chemicals! Keep up the amazing work 😊❤
@KennanHerbert-v4u
@KennanHerbert-v4u 11 дней назад
Lopez David Lewis Kevin White Frank
@makeupvideosbyAshima
@makeupvideosbyAshima 2 месяца назад
Please share dataset and code
@Olivier1
@Olivier1 3 месяца назад
Results from this experiment would be very helpful. I hope it works.
@melinaguillon2449
@melinaguillon2449 4 месяца назад
Thank you for your great teaching!
@sayanikadutta7143
@sayanikadutta7143 4 месяца назад
Am not able to launch project(6) . Is there a way for first time users to do it
@akshaybareja4697
@akshaybareja4697 Месяц назад
Thank you for your question. This seems to be working fine on my end. Could you share what error message R is giving you? Are you able to launch other projects?
@shaahin6818
@shaahin6818 5 месяцев назад
This study assumes that all papers are equal because they are academic in nature. This can't be farther from the truth. Heterodox journals publish different types of papers than mainstream journals do because heterodox tools and methods are different. The neoclassical economics articles are within the dominant paradigm and commonly econometrics/optimization studies of the problems from that perspective. They are not philosophical or reasoned articles; they don't have any historical approach; they don't look at other paradigms, even if they don't know that they exist. In contrast, the heterodox paradigms constantly use approaches that require this boundary. They need to define themselves, formulate, and justify their perspectives in contrast to the flawed dominant paradigm. This is a very good example of data science insufficiency in tackling a problem. While plotting a few time series is useful, it is rarely enough to understand a phenomenon. Answering a question such as "Is neoclassical economics a good term?" requires matching the neoclassical definitions and distinctive principles with what appears in their academic journals and textbooks. It is not a simple data science question. Nevertheless, data science can help. This study only demonstrates that mainstream journal articles use the term less frequently. Nothing more.
@briankennedy9287
@briankennedy9287 6 месяцев назад
I wish the videos were run in order
@briankennedy9287
@briankennedy9287 6 месяцев назад
sql works same but more clarity in R
@briankennedy9287
@briankennedy9287 6 месяцев назад
Can't understand nested code
@namelessbecky
@namelessbecky 6 месяцев назад
thank you
@olubunmiayoade
@olubunmiayoade 7 месяцев назад
Thank you for simplifying this. I subscribed immediately. It seems nobody really knew how to simplify it
@IsaacAmissah-ru7jz
@IsaacAmissah-ru7jz 8 месяцев назад
The best explanation i have watched on R and R studio, thanks
@SogolSedighi
@SogolSedighi 9 месяцев назад
This was really helpful , Thank you !
@Mattrycky
@Mattrycky 9 месяцев назад
What you came here for starts at 0:45
@hannukoistinen5329
@hannukoistinen5329 9 месяцев назад
Unbeliavable bullshitter!! R is much much more than a pipe-operator!!!!!
@meeganscariah670
@meeganscariah670 10 месяцев назад
Thanks for the video. Kindly share the dataset
@pinxipeople
@pinxipeople 10 месяцев назад
super helpful!
@mrfabianjuarez
@mrfabianjuarez 10 месяцев назад
Thank you! Learning pipes initially was a bit terrifying, but you made it so easy,😀 and completely understand now. On to the next lesson.
@plixie1
@plixie1 10 месяцев назад
Underrated explanation, I was taking a course and was still confused. You cleared it up quick.
@amaransi4900
@amaransi4900 11 месяцев назад
Could you please provide us the dft_df.csv file
@emjai2122
@emjai2122 11 месяцев назад
This video is not accurate. install.packages(“tidyverse”) downloads and installs ALL of the tidyverse packages. However, library(tidyverse) only loads the core 9 packages.
@DiyahZangana
@DiyahZangana 11 месяцев назад
which link below?
@RokiaElsedy
@RokiaElsedy 11 месяцев назад
very good ... can you send the data after preprocessing ... and the preprocessing code
@MrStephenmindo
@MrStephenmindo 11 месяцев назад
Hello Good day. Could I get access to your data and methods. I'm trying to do something similar in terms of measuring productivity but im not well versed in R. I could really appreciate if you could provide a link/source to your studies and how you went about trying to solve this. thanks
@fcbbarca3514
@fcbbarca3514 11 месяцев назад
where is the dataset
@ajaykathir8572
@ajaykathir8572 11 месяцев назад
hey, did you proceed with this code? do you have the dataset?
@dreznik
@dreznik Год назад
the Tidyverse is infinitely superior for DS than Python.
@Bitroko
@Bitroko Год назад
very powerful and simple video
@borachan7805
@borachan7805 Год назад
Where is the link?
@ashtonjames2882
@ashtonjames2882 Год назад
I’m in my DS masters programme and this helped me understand pipe so much! Thank you!
@DudeWhoSaysDeez
@DudeWhoSaysDeez Год назад
great video
@pratikpathade1308
@pratikpathade1308 Год назад
hello its really hellpful video. i am working with limma but I am having problem with the ebayes() function. please help me with it. and also can you provide the script of this tutorial.
@akshaybareja4697
@akshaybareja4697 Год назад
I’m a little surprised because if you’re able to run lmFit() without any errors, then you should also be able to run efit(). What error are you getting? Thanks for watching!
@1207thisisme
@1207thisisme Год назад
thank you so much for explaining this like Im 5 y/o
@claudesnyder5753
@claudesnyder5753 Год назад
💃 'Promo sm'
@JanielJ-i1x
@JanielJ-i1x Год назад
That was helpful and good, kindly provide the dataset and github link friend
@ajaykathir8572
@ajaykathir8572 11 месяцев назад
hey, did you proceed with this code? do you have the dataset?
@mocabeentrill
@mocabeentrill Год назад
Interesting use case of computation and programming.
@devisriprasad119
@devisriprasad119 Год назад
Luffy hat?
@marcfruchtman9473
@marcfruchtman9473 Год назад
Thank you for making this review. Much appreciated.
@haraldurkarlsson1147
@haraldurkarlsson1147 Год назад
Mine - for a book project in Quarto where do you suggest the libraries should be loaded? In each chapter separately or in some sort of front end document? As a LaTeX user I would be apt to put all my libraries (in LaTeX usepackage) in a single place. Does it matter?
@mocabeentrill
@mocabeentrill Год назад
Thank you.
@mocabeentrill
@mocabeentrill Год назад
Thank you very much. This is straight forward and very clearly explained.
@jujajuja742
@jujajuja742 Год назад
Hey I am trying to run the single cell experiment, umi <- SingleCellExperiment(assays = list(counts = as.matrix(molecules)), colData = annotation), but I am getting this error, Error in validObject(.Object) : invalid class "SummarizedExperiment" object: nb of cols in 'assay' (5) must equal nb of rows in 'colData' (19027). Why is this happening and how do I fix it? Thank you
@sabertoothwallaby2937
@sabertoothwallaby2937 Год назад
thank you
@gcbicca
@gcbicca Год назад
Thx so much for that lecture! You help me a lot!
@takudzwamatope2879
@takudzwamatope2879 Год назад
Wakapenga iwewe 🔥🔥🔥
@oscarsibanda9454
@oscarsibanda9454 11 месяцев назад
Mwana wevhu
@nickmatarutse
@nickmatarutse Год назад
Hoyo
@Gabu-San
@Gabu-San Год назад
Such a good explanation! Can you help me. I keep getting this error-Error in `bind_rows()`: ! Can't combine `..1$started_at` <datetime<UTC>> and `..2$started_at` <character>. Backtrace: 1. dplyr::bind_rows(q2_2019, q3_2019, q4_2019, q1_2020) . U have tried everything. I apologize but I'm really new to this. Thank you in advance.
@mocabeentrill
@mocabeentrill Год назад
Thank you so much. As a beginner, these exercises are helpful.
@lesekomakhetha
@lesekomakhetha Год назад
Hello. Do you offer lessons on R? can you share your email address
@sir_cassimiro
@sir_cassimiro Год назад
He said: "The text is for the future version of you"... wow! Thanks a lot You speak just the way and pace I can understand