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AlearnsR

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Recently Published

Kaggle_CYPdataset
Handling missing data; correlation
Kaggle_Bell's Palsy
Creating baseline table Performing logistic regression to find association between two interventions in a factorial design and deriving adjusted odd's ratio, P value and CI for the same.
Kaggle_synthetic_clinicaltrial data set
Anomaly detection: 1. Drop out rates across sites 2. Outliers in BP 3. Distribution of AE across sites
Kaggle dataset; tDCS data
Logistic regression, ANCOVA, t tests
A randomised, double-blind, placebo-controlled trial
An attempt at creating a dataset for a research publication and analysing the data.
Learning from CGPT_1
Creating a dataset, descriptive stat, T test, Chisq test, linear and logistic regression, and survival analysis.
Data distribution
#Plotting histograms to see distribution. #Tests of normality when histograms are insufficient #Mutate to create a new column with average of two other columns #Making prettier ggplots #kolmogorov smirnof test #QQplot
tidytuesday_41
#Mutate #Avg #ggplot
nyc_flightsdata
Figuring out date and time Mutate- convert to factor, recode
Chisq. test
Chisq test code from Gemini doi: https://doi.org/10.1136/bmj-2025-085569
Tidytuesday_40
Lessons: Parsing numbers from string; Separating longer with delimiters when multiple data points are available in a cell. Filtering out columns in ggplot
Tidytuesday_39_attempt_2
Better use of "summarize", "filter", "mutate", and parsing years and months.
Tidytuesday_39
parse month/year from date rename column plot a subset of data
Chapter 21 RMRWR
t test
Tidytuesday_project 37
Recipes data set. Summarise, and relocate functions.
Chapter 13 RMRWR
gt, gtsummary and janitor packages.
TidyTuesday_2025_project38
An attempt at working on the project no. 38 on TidyTuesday.
Learning to wrangle, summarise, plot and test data
janitor, rstatix, remotes packages