mirt
Multidimensional item response theory (by philchalmers)
r4ds
R for data science: a book (by hadley)
| mirt | r4ds | |
|---|---|---|
| 3 | 165 | |
| 194 | 4,366 | |
| - | - | |
| 8.5 | 8.4 | |
| 25 days ago | 14 days ago | |
| R | R | |
| - | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mirt
Posts with mentions or reviews of mirt.
We have used some of these posts to build our list of alternatives
and similar projects.
- Is there any resource where i can see how parameter estimation is coded
-
I have a function which scores my data as 1 or 0(right or wrong) for MCQ responses(A,B,C,D). If the answer is A , and the person has also scored A as answer then he will be scored as 1, else he gets scored as 0. However i need a slight change in this when scoring NA(data that is not available).
I am using this function to score the data:-
- Where can I learn how to use Mirt package if I am a beginner to R?
r4ds
Posts with mentions or reviews of r4ds.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-24.
- Ask HN: Learning Maths from the Ground Up
-
Any suggestions on where I can learn R studio for an affordable cost?
https://r4ds.hadley.nz is free and very good
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Help with Understanding data loading/cleaning in R.
R for Data Science teaches you the tidyverse packages, which makes data wrangling so much easier!
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Learning R & statistics
One of the best free resources is the R4DS book by Hadley Wickham. You should make sure you start with the in progress second edition. https://r4ds.hadley.nz/
- Trying to learn Rstudio
- Questions as incoming PhD political science student
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First R project
The first edition of R4DS is quite old now. Check out the soon to be released second edition: https://r4ds.hadley.nz/
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Is R dead?
R for Data Science (2nd Ed), the updated guide from Hadley Wickham
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[Career] Strong Mathematics Background, Limited "Technical" Background
The big skills gap you have is in practical data exploration and transformation, which will be a large part of any data-centric role. As much as people may have distaste for it, there is no avoiding data manipulation as critical foundational enabler of all inferential and predictive modeling work. SQL is the lingua franca here and well worth picking up the basics (joins, window functions, handling dates and times, etc.), plus learning how to implement similar transformations in R and Python. With appropriately transformed data, you then need to be able to visualize it effectively using tools like Tableau or ggplot2 in R. I would not necessarily seek courses or certificates in it but expect to be evaluated on them in technical interview screenings, so self-study accordingly. R for Data Science by Hadley Wickham is a great free resource for these topics for R.
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There’s a lot of data science books out there, any recommendations for must-reads?
I just looked and there is now a second edition! https://r4ds.hadley.nz/
What are some alternatives?
When comparing mirt and r4ds you can also consider the following projects:
ggplot2 - An implementation of the Grammar of Graphics in R
swirl - :cyclone: Learn R, in R.
awesome-R - A curated list of awesome R packages, frameworks and software.
fasteR - Fast Lane to Learning R!
rmarkdown - Dynamic Documents for R
tidytuesday - Official repo for the #tidytuesday project
DataScienceR - a curated list of R tutorials for Data Science, NLP and Machine Learning
viridis - Colorblind-Friendly Color Maps for R
dplyr - dplyr: A grammar of data manipulation
lab02_R_intro - Vežbe 2: Uvod u R
R-vs.-Python-for-Data-Science
ggplot2-book - ggplot2: elegant graphics for data analysis