小缺点
发表于 2025-3-21 16:04:43
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Pde5-Inhibitors
发表于 2025-3-21 21:04:52
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CLAM
发表于 2025-3-22 02:41:34
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商店街
发表于 2025-3-22 05:03:49
An R Approach to Data Cleaning and Wrangling for Education Researchg analytics. This chapter provides an introduction to data wrangling using R and covers topics such as data importing, cleaning, manipulation, and reshaping with a focus on tidy data. Specifically, readers will learn how to read data from different file formats (e.g. CSV, Excel), how to manipulate d
BLUSH
发表于 2025-3-22 10:51:27
Introductory Statistics with R for Educational Researchersg environments. This chapter provides an introduction to basic statistical concepts using R and covers topics such as measures of central tendency, variability, correlation, and regression analysis. Specifically, readers will learn how to compute descriptive statistics, conduct hypothesis tests, and
SEVER
发表于 2025-3-22 16:13:46
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neutral-posture
发表于 2025-3-22 20:21:28
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HUSH
发表于 2025-3-23 01:02:46
Dissimilarity-Based Cluster Analysis of Educational Data: A Comparative Tutorial Using Rartitioning heterogeneous data into homogeneous groups, whereby cases within a group are more similar to each other than cases assigned to other groups, without foreknowledge of the group labels. Clustering is also an important component of several exploratory methods, analytical techniques, and mod
BRACE
发表于 2025-3-23 02:02:34
An Introduction and R Tutorial to Model-Based Clustering in Education via Latent Profile Analysisr subgroups within students’ behavior or functioning. Assuming that there is “an average” pattern that represents the entirety of student populations requires the measured construct to have the same causal mechanism, same development pattern, and affect students in exactly the same way. Using a pers
Herpetologist
发表于 2025-3-23 07:01:49
Sequence Analysis in Education: Principles, Technique, and Tutorial with Rct meaningful insights from sequential data, i.e., to summarize the sequential patterns of learning data and classify those patterns into homogeneous groups. In this chapter, readers will become familiar with sequence analysis techniques and tools through real-life step-by-step examples of sequentia