R in Pharma

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R in Pharma

R in Pharma

@rinpharma

Gathering focused on the use of Open Source in the development of pharmaceuticals

Cambridge, MA Katılım Ağustos 2017
1.9K Takip Edilen1.6K Takipçiler
R in Pharma
R in Pharma@rinpharma·
Starting now, 11am EST! Supercharge your shiny app by offloading computations to a HPC cluster! Obtain Zoom Link by registering here: ttps://zoom.us/meeting/register/70XM3roZRGeY3DdAR8T0Eg #RinPharma #RShiny #HPC
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R in Pharma
R in Pharma@rinpharma·
Hello Everyone! Starting in 5mins, 8am EST!: WORKSHOP: datasetjson - Read and write CDISC Dataset JSON formatted datasets in R and Python! Join here: events.zoom.us/ev/Ai-geyS63AO…
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R in Pharma
R in Pharma@rinpharma·
Today at 2pm EST! Live & Not Recorded! The #LLMs Lounge: Live-coding and conversation on using AI for data science with Joe Cheng & Eric Nantz! Special live demonstration on using Databot to power an exploratory data science analysis! events.zoom.us/ev/Ai-geyS63AO… #RStats #Python
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Joachim Schork
Joachim Schork@JoachimSchork·
The gtsummary package in R makes it easy to create clean, publication-ready summary tables for your data. The tbl_summary() function takes a data set and generates well-organized tables that display key statistics like counts, percentages, means, and medians, which is perfect for presenting descriptive statistics in reports, manuscripts, or presentations. ✔️ Streamlines Descriptive Statistics: Quickly generates clear and professional summary tables. ✔️ Customizable: Offers flexible options for labels, decimal places, and formatting. ✔️ Supports Various Data Types: Works with continuous, categorical, and dichotomous variables seamlessly. The visualization below shows a sample table created with tbl_summary(), illustrating its ability to organize and present descriptive statistics effectively. Visualization adapted from the official package website: danieldsjoberg.com/gtsummary/arti… Want to explore more practical tips on Statistics, Data Science, R, and Python? Subscribe to my email newsletter! More information: eepurl.com/gH6myT #Rpackage #RStats #DataScientist #pythoncode #DataScience #database #Python
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