It takes the average reader 6 hours and 22 minutes to read Using R for Data Analysis in Social Sciences by Quan Li
Assuming a reading speed of 250 words per minute. Learn more
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to...
Using R for Data Analysis in Social Sciences by Quan Li is 369 pages long, and a total of 95,571 words.
This makes it 125% the length of the average book. It also has 117% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 42 minutes to read Using R for Data Analysis in Social Sciences aloud.
Using R for Data Analysis in Social Sciences is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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