STRENGTH TRAINING AS TREATMENT FOR CEREBRAL PALSY

GAIT ANALYSIS OF CHILDREN WITH CP AND THE RELATIONSHIP BETWEEN LOWER-BODY STRENGTH AND WALKING SPEED.

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Cerebral palsy (henceforth "CP") is a non-progressive neurological disorder that primarily affects body movement and muscle coordination. Approximately two out of every thousand newborn children develop CP and to this date, there is no cure. This report discusses the relationship between the lower-body strength of the child with CP and their walking speed. As the risk involved with the strength-training treatment is low if not non-existent with proper care, even the slightest positive significant correlation should suggest the value of strength training.

Based on the study, there appears to be a strong relationship between strength and walking speed. This holds especially for those with Gross Motor Function Classification System (henceforth "GMFCS") Level 1, whether the CP is diplegic or hemiplegic. However, the strength of the relationship decays drastically for increasing GMFCS Levels. For those with GMFCS Levels of 3 or higher, possible benefits of the strength training appears to be negligible.

CAPTURING THE LOSS

CHARACTERIZING & UNDERSTANDING INTERNET FLOW TRAFFIC AND PACKET LOSS.

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The objective of the analysis was to predict the future packet loss rate and to identify any variables that might impact the packet loss rate. The dataset includes a total of 147 observations with variables Run Number, First Flow Start Time, Flow Start Time, Duration, RTT, User Send Rate, Achieved Rate, Flow Loss Rate, and Background Traffic Loss Rate. Logistic regressions, as well as Poisson regression, were performed to identify the model of best fit. The analysis returned a model of best fit within individual runs as well as a suggestion to isolated the variables to more effectively determine their impacts.

R, Tidyverse, and their beauty

A good developer and a good statistician both know how to use different tools that are the most suited for the job at hand.

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R isn't a language designed to make applications, it's not a language that was designed to make lengthy programs, nor was it designed with things like programming efficiency in mind.

R is a programming language designed by statisticians, for statisticians.

Yes, you can create really cool interactive data visualizations. Yes, you can make fully functioning web applications. But you can't do it as cleanly nor as efficiently as other languages can. And when you do, the final product likely isn't going to look as suave as products from other languages (not to mention likely slower). This is starting to sound like an R hate-post. So - why use R.