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Arnel Aguinaldo
Добавлен 31 янв 2015
What is Biomechanics?
Learn more about the science of biomechanics and the PLNU x Padres Biomechanics Lab with Dr. A.
Просмотров: 80
Видео
Mechanical Energy of Baseball Pitching
Просмотров 4582 года назад
Estimating mechanical energy flow through the kinetic chain during baseball pitching using segmental and induced power analyses
Thesis Defense: Avery Avina (MS-KIN, 2021)
Просмотров 2422 года назад
Thesis: Kinematic, kinetic, and energy flow predictors of bat speed during collegiate baseball tee-batting Avery Avina (MS-KIN) College of Health Sciences Point Loma Nazarene University
Guest Lecture on Knee Biomechanics by Dr. Tim Hewett
Просмотров 1892 года назад
Guest lecture by Tim Hewett, PhD for the Biomechanics Laboratory and the College of Health Sciences at Point Loma Nazarene University on September 7, 2021.
Multi-segment Components of Induced Power Generation during Baseball Pitching (ISB 2021)
Просмотров 1773 года назад
Lightning talk on "Multi-segment Components of Induced Power Generation during Baseball Pitching" (PB142 Poster, ISB 2021) Arnel Aguinaldo (1), Kristen Nicholson (2), Gordon Alderink (3) 1 Department of Kinesiology, Point Loma Nazarene University 2 School of Medicine, Wake Forest University 3 Department of Physical Therapy, Grand Valley State University References Cited Aguinaldo, A.L., et al.,...
Biomechanics of Running
Просмотров 8273 года назад
Kinematics, kinetics, and mechanical energy of running
Clinical Measures of Association
Просмотров 1223 года назад
Relative Risk, Odds Ratio, Sensitivity, Specificity, PPV, NPV, and Likelihood Ratios
Statistical Power
Просмотров 773 года назад
How to run and interpret a statistical power analysis using G*Power by Dr. A
Two-Way Mixed ANOVA in R
Просмотров 5 тыс.4 года назад
How to perform and interpret a two-way mixed ANOVA by Dr. A
PLNU Biomechanist Spotlight Introduction
Просмотров 1424 года назад
PLNU Biomechanist Spotlight Introduction by Dr. Aguinaldo In this playlist, I spotlight graduate students and alumni of Point Loma Nazarene University (PLNU) who are pursuing a vocation as a biomechanist or a path that heavily involves the biomechanics of human movement. The science of biomechanics is an exciting field and these individuals provide their testimonials of how it has inspired them...
Correlation and Regression Analyses in R
Просмотров 2924 года назад
Correlation and Regression Analyses in R
Thank you Dr A! Very clear!
Hi. Can I get the pdf of the commands used? Thank you for the step-by-step explanation.
I wanted to know which version of R you're using. Since I'm unable to get these packages on RStudio 4.1.3.
What if normality is violated and transforming doesn’t fix this? What is the non-parametric model?
Thank you very much for the video! May I ask something: in my study, I have a computer categorisation task where I want to analyse the incluence of 3 factors (each of them has 2 levels) on the outcome variable (reaction time). it's a within-subjects design so throughout the computer task, each participant will experience every condition. The task consists of 6 blocks; each block has 32 trials (1 trial is categorising one word). Between the blocks, there is just a few seconds break. So my question: do I have to calculate a rmANOVA? I am confused because one the one hand, I have repeated measures on each condition of each participant; on the other hand, the task is completed in a single session (and not with a distance of 2 months or so) and I don't analyse the change of their performance over the 6 blocks but only the influence of the different conditions on the RT. I'd be very very grateful for an answer! :)
The design depends on your overall research question and hypothesis. Are you also interested in examining the differences in reaction time across trials within each block? If so, a mixed effects model may be more appropriate to take into account the fixed (3 conditions) and random effects (trials) on RT. If you are only analyzing RT after each of the 6 blocks (or perhaps the average of all the trials within each block), then it sounds like a traditional RM-ANOVA would suffice.
@@arnelaguinaldo1231 Thank you really much Dr. Aguinaldo, that helped a lot !! :)
does X1 refer to participant ID number?
Yes, the column should have been labeled "ID" after I imported the data from the CSV file. A lazy oversight on my part!
Thanks alot for this video, its very clear and easy to follow. I was wondering if you wanted to run a 3 way mixed ANOVA can one just include a third variable where you have group*time?
In this case, I would recommend using a mixed effects model, which is the general form of the between-within ANOVA. The lme4 package is a very useful tool to perform this in R.
That was a great lecture..thank you!
Dear Dr. A, Thank you very much for the video! Have a wonderful day.
Dear Dr. Arnel Aguinaldo Thanks for the excellent video. Please make one video on two way mixed design using non-parametric methods
There are a few options for performing a non-parametric analog of a two-way mixed ANOVA but there are also many discussions on which one and whether one is needed in the first place. I suggest double checking the normality of your data and if applicable, try data transformation or bootstrapping. You may find the mixed ANOVA would suffice.
Thank you Arnel, very clear and totally analogous to my own research problem
Hi, thank you for the video. Where can I find more explanation that the error code is actually for within subject design? I used the same code but someone said it seems the error is a clustered-adjusted standard error.
The error term "X1/time" represents the error variance due to time nested within each subject. If there are unequal number of repeated observations (p) per subject, this nested term takes into account the variance due to random chance per trial per subject. In the example I discuss in this video, however, all subjects in the dataset were tested twice so the 2-way ANOVA with the nested error (X1/time) will output the same results as the within-subject error (X1) term. I just have the ANOVA function "default" with a nested error to account for both scenarios (equal and unequal p).
Dear Sir.. I see no sampel dataset and the R-Script has presented.. I hope you could be share in here and many thank..
You can also use the “emmeans” package for post hoc analysis. Emmeans(modelname, pairwise~iv, adjust =“Bonferroni”)
Thank you for the vid. When I try to convert my data frame from wide to long, I keep getting this error: Error: Must subset columns with a valid subscript vector. x Subscript has the wrong type `data.frame<. This is frustrating me to no end, I don't know what I'm doing wrong or how to fix it. My data frame is very similar to yours where ID is the first column (I have 6 rows) and after ID I have 90 columns which are my 90 time points. Could you point me to the right direction? Thank you
What function are you using that returns the error? What type of data are in the 90 columns? Make sure the column names match when piping the column data into rows for the given key using the `gather` function.
@@arnelaguinaldo1231 Thank you for the reply, I've managed to solve it. Apparently using -c() in the gather(key = Time , value = Temp , -c(ID)) bit. In the columns I had numerical values with one decimal place (these are temperatures in celcius) i.e. 36.7, 39.8 etc for 6 individuals taken over a course of 90mins and my first column is their ID (1, 2, 3, 4, 5, 6).
Thanks for the detailed and easy to follow video. Could you please make a video/tutorial for non-parametric alternative of two-way mixed ANOVA. Thanks!