id stringlengths 40 40 | repo_name stringlengths 5 110 | path stringlengths 2 233 | content stringlengths 0 1.03M ⌀ | size int32 0 60M ⌀ | license stringclasses 15
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|---|---|---|---|---|---|
3495c1d2c32dafde00697335f4389a98dead3f18 | LadyoftheWater/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | anupkumardixit/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | richardmarkhunt/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | martingascon/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | ashishchandan/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | bospetersen/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | Jackson85/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | JeromeAli/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | dvbhagavathi/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | tjautio/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | adri894/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | niloynibhochaudhury/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | AMPrescott/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | smuch/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | anfe67/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | MeiSenTafsm/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | amalarrachidi/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | johnneyb/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | fbagirov/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | AnyaMit/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | GundamYeti/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | emiels/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | jmacarter/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | aruneral01/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | shrekodn/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | maskegger/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | richardwei2008/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | noahchense/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | pegasusTH/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | lblinder/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | dhduncan/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | k3140285kop/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | drnuance/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | Jambiol/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | gringwald/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | mmfern01/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | Hris2013/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | TeddyTiome/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | johnsonzhj/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | Romka11/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | xiang-tischhauser/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | dpc5090/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | martik617/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | sriramanathan/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | warszawiak/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | jrgantunes/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | sagigr/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | Jutair/R-programming-Coursera | Swirl/Rsubversion/branches/eda/Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-2.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | arjitmazumdar/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | tapangoel1994/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | MarcoTomasetta/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | CarlosJunior4763/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | horrorkumani/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | akhilK17/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | yechen1974/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | jacobmbr/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | chenyan1994/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | fvdgeer/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | vishalshastri/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | jdgriffin/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | pavanmg/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | xujiawei1993/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | gccmsu/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | brezniczky/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | kevinbgunn/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | wengers11/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | fainafr/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | lgreski/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | momoa16/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | patricksu/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | pmijar/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | ZiTUNG/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | ndeltortoiii/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | Evegen55/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | fanglu01/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
3495c1d2c32dafde00697335f4389a98dead3f18 | ABourcevet/swirl_courses | Exploratory_Data_Analysis/Hierarchical_Clustering/complete2.R | points(x[11],y[11],col="orange",pch=3,lwd=3,cex=3)
segments(x[8],y[8],x[11],y[11],lwd=3,col="orange")
| 102 | gpl-3.0 |
b7856bd8442fdcc422b8d8a2c0d7310b7782d9f2 | CodeGit/SequenceImp | dependencies-bin/macosx/bin/R/lib/R/library/gdata/unitTests/runit.drop.levels.R | ### runit.drop.levels.R
###------------------------------------------------------------------------
### What: Tests for drop.levels
### $Id: runit.drop.levels.R 993 2006-10-30 17:10:08Z ggorjan $
### Time-stamp: <2006-08-29 14:21:12 ggorjan>
###------------------------------------------------------------------------
#... | 1,022 | gpl-3.0 |
b7856bd8442fdcc422b8d8a2c0d7310b7782d9f2 | CodeGit/SequenceImp | dependencies-bin/windows/bin/R/library/gdata/unitTests/runit.drop.levels.R | ### runit.drop.levels.R
###------------------------------------------------------------------------
### What: Tests for drop.levels
### $Id: runit.drop.levels.R 993 2006-10-30 17:10:08Z ggorjan $
### Time-stamp: <2006-08-29 14:21:12 ggorjan>
###------------------------------------------------------------------------
#... | 1,022 | gpl-3.0 |
c30a7f1735d4996ead6a60022bb2ace0070a2eeb | petzi53/audiemus | daten-bereinigen/get-data.3.R | ## ----label = "global-options", echo=FALSE, highlight=TRUE----------------
knitr::opts_chunk$set(
message = F,
error = F,
warning = F,
comment = NA,
highlight = T,
prompt = T
)
if (!require("tidyverse"))
{install.packages("tidyverse", repos = 'http://cr... | 10,812 | gpl-3.0 |
8b49dcafd812ec404a97f7d9e5e4a91f7e4a9aec | bedatadriven/renjin | tests/src/test/R/test.eapply.R | #
# Renjin : JVM-based interpreter for the R language for the statistical analysis
# Copyright © 2010-2019 BeDataDriven Groep B.V. and contributors
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundati... | 1,138 | gpl-2.0 |
de9dbeb50a1d1c87c1273c4ef9f3f3cdcd41d1b0 | sqor/3rdeye | individual.R |
format_coder <- function(git_log_full, email){
coder <- git_log_full[git_log_full$author_email == email,]
repos_count <- length(as.integer((unique(coder$repo))))
total_commmits <- median(coder$count)
last <- head(coder[ order(coder$time , decreasing = TRUE ),],n=1)
first <- head(coder[ order(coder$time , decreasi... | 1,705 | mit |
25f29472c9d10406e27575ff8a5f4887d554aba2 | C2SM/gevXgpd | R/F.of.T.R | "F.of.T" <-
function (t,lamda=1) {1-1/(lamda*t)}
| 50 | gpl-2.0 |
5ffbe24ad0731d2f83bfa34090792118f25beb18 | DarrenCook/h2o | code/glm.mnist.R | seed = 450
source("load.mnist.R")
#With 3.10.0.8, on notebook: 2.727 0.387 152.600 (8 cores kept busy)
# (first time to be using seed)
# Scored 775 on valid, 0.0627 error on train. 740 on test
# (the values in the book are 782 on valid, 746 on test, and it took 4 minutes)
system.time(
m <- h2o.glm(x, y, ... | 23,106 | mit |
6acc7f7639f48d9e015aa478e6d059fd1c4451fb | snoweye/pbdDEMO | R/verify.R | #' Distributed Linear Algebra Verification
#'
#' At-scale verification routines for distributed linear algebra.
#'
#' These routines numerically verify the accuracy of the given
#' operation. Each operation generates only the local data that
#' is needed, and one never needs to store the global problem on
#' any one... | 7,776 | mpl-2.0 |
6acc7f7639f48d9e015aa478e6d059fd1c4451fb | wrathematics/pbdDEMO | R/verify.R | #' Distributed Linear Algebra Verification
#'
#' At-scale verification routines for distributed linear algebra.
#'
#' These routines numerically verify the accuracy of the given
#' operation. Each operation generates only the local data that
#' is needed, and one never needs to store the global problem on
#' any one... | 7,776 | mpl-2.0 |
beb8f1e5a4e8988d14982f486c50bad2aa11dfa7 | CSCAP/Sustainable_Corn_Paper | Code/SoilDataCleaning_forSP.R | # LOAD DATA ---------------------------------------------------------
setwd("C:/Users/Gio/Documents")
dir()
# get table from database
library(ggplot2)
library(dplyr)
library(lubridate)
source("~/GitHub/R/My_Source_Codes/CSCAPpostgerDBconnect.R")
# READ AGRO DATA ----------------------------------------------------
# ... | 15,597 | mit |
2ab2fc8bffe1f3676f594d55d83d5ba8e3bb3ec6 | topsoil/patternCNV | R/computeMultiCNV.R | computeMultiCNV <- function( session.name, data.name=NULL, sample.type=NULL,
ref.type='average.pattern',
episl=1, small.delta=1e-5, bin.size=10,
zero.median.adjust=TRUE,is.verbose=FALSE)
{
if(class(session.name)!='PatCNVSession')
{
stop('input session.name should be class of "PatCNV... | 3,655 | artistic-2.0 |
6acc7f7639f48d9e015aa478e6d059fd1c4451fb | RBigData/pbdDEMO | R/verify.R | #' Distributed Linear Algebra Verification
#'
#' At-scale verification routines for distributed linear algebra.
#'
#' These routines numerically verify the accuracy of the given
#' operation. Each operation generates only the local data that
#' is needed, and one never needs to store the global problem on
#' any one... | 7,776 | mpl-2.0 |
6acc7f7639f48d9e015aa478e6d059fd1c4451fb | cran/pbdDEMO | R/verify.R | #' Distributed Linear Algebra Verification
#'
#' At-scale verification routines for distributed linear algebra.
#'
#' These routines numerically verify the accuracy of the given
#' operation. Each operation generates only the local data that
#' is needed, and one never needs to store the global problem on
#' any one... | 7,776 | mpl-2.0 |
6222694b39bc9674018b830208f09a3e5656d667 | ritviksahajpal/meteoForecast | R/grepVar.R | grepVar <- function(x, service, complete = FALSE){
varsFile <- switch(service,
meteogalicia = 'varsMG',
openmeteo = 'varsOM',
gfs = 'varsGFS',
nam = 'varsNAM',
rap = 'varsRAP',
s... | 512 | gpl-3.0 |
462926025a7214b26eeddec2296a4844e2396277 | cran/RadioSonde | R/setupSkewt.R | "setupSkewt" <-
function( BROWN = "brown3", GREEN = "green4", redo = FALSE,
tempRangeF = c( -20, 104 ),...)
{
#---------------------------------------------------------------------
#
# This program generates a skew-T, log p thermodynamic diagram. This
# program was derived to riff off of the USAF sk... | 2,628 | gpl-2.0 |
2561991470ba07db0ad25f66fc740fd8a162c1cd | miken22/BaseballWithR | src/Chap4.R | # Chapter 4
# Following the examples worked through in the chapter with modifications
# to players/teams followed. Written by Mike Nowicki.
# Load packages into environment if not already.
require(curl)
require(data.table)
require(chron)
require(dplyr)
require(Lahman)
require(pitchRx)
require(plyr)
require(retrosheet)... | 12,066 | gpl-2.0 |
2fccc90815dd59f614285605020a796eb3f19ade | ygraham/segment-mteval | proc-hits/trk-mean-sd.R | # Copyright 2015 Yvette Graham
#
# This file is part of SegmentMTeval.
#
# SegmentMTeval is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later vers... | 1,477 | gpl-3.0 |
01210f9429afaaf9d2e614f5a36a3b372327ca86 | joelfiddes/toposubv2 | workdir/modalSurface.R | #====================================================================
# SETUP
#====================================================================
#INFO
#DEPENDENCY
require(raster)
#====================================================================
# PARAMETERS/ARGS
#===============================================... | 920 | gpl-3.0 |
2fccc90815dd59f614285605020a796eb3f19ade | alvations/segment-mteval | proc-hits/trk-mean-sd.R | # Copyright 2015 Yvette Graham
#
# This file is part of SegmentMTeval.
#
# SegmentMTeval is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later vers... | 1,477 | gpl-3.0 |
01210f9429afaaf9d2e614f5a36a3b372327ca86 | joelfiddes/toposubv2 | topoMAPP/rsrc/modalSurface.R | #====================================================================
# SETUP
#====================================================================
#INFO
#DEPENDENCY
require(raster)
#====================================================================
# PARAMETERS/ARGS
#===============================================... | 920 | gpl-3.0 |
01210f9429afaaf9d2e614f5a36a3b372327ca86 | joelfiddes/topoMAPP | rsrc/modalSurface.R | #====================================================================
# SETUP
#====================================================================
#INFO
#DEPENDENCY
require(raster)
#====================================================================
# PARAMETERS/ARGS
#===============================================... | 920 | mit |
9d79bb3611042b6c3ba0742fa99c01b76bd6b260 | stdlib-js/stdlib | lib/node_modules/@stdlib/math/base/special/maxabs/benchmark/r/benchmark.R | #!/usr/bin/env Rscript
#
# @license Apache-2.0
#
# Copyright (c) 2018 The Stdlib Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | 2,891 | apache-2.0 |
3d865e9fdb8ffb6cef4497b7fb3f69b24ea11c9e | feralindia/CWC | Hydrographs/stn_102.R | ## Station 103 is associated with:
## wlr: 103, 103a
## flume: 113
## tbrg: 103, 109
## bs: 102, 123
## this script collates data for wlr 103 & 103a and
## runs a routine for flume 113
##--- define constants
stn.no <- 102
ar.cat <- 748462.5
catch.type <- "Wattle Catchment"
wlr.path <- "~/OngoingProjects/CWC/Data/Nilgi... | 1,230 | gpl-3.0 |
b3a835605856a925061b674daf552b3c629db145 | BCCVL/org.bccvl.compute | src/org/bccvl/compute/content/toolkit/demosdm/demosdm.R | ####
##
## INPUT:
##
## occur.data ... filename for occurence data
## absen.data ... filename for absence data
## enviro.data.current ... list of filenames for climate data
## enviro.data.type ... continuous
## opt.tails ... predict parameter
##
## outputdir ... root folder for output data
#define the worki... | 19,030 | gpl-2.0 |
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