| NO. | TOPIC | TITLE | AUTHORS |
|---|
| 1 | Wrangling Data: Dplyr & Hum | Dplyr And Hum |
1.Jackline C. Kapsukut
2. Siele Linda Chepkurui
3. Nyabuto Onchuru Dennis |
| 2 | Wrangling Data: Tidyr & Forestfloor | R Libraries Used: Tidyr And Forestfloor |
1.Waithaka John Nder |
| 3 | Wrangling Data: Stringr & Visualize | Application Of Stringr In Data Collected From A Survey Done On Family Planning |
1.Njeri Joel Ngoci
2. Mohammed Zaam Omar
3. Ogallo Phoebe Adhiamb |
| 4 | Wrangling Data: Lubridate & Sigtree | Package: Lubridate |
1.George Maingi
2. Evans Miriti
3. Irene Mbek |
| 5 | Visualiization: Ggplot2 | Use Of Graphs In Representing Data |
1.Sayianet Judy Kapaiko
2. Mutinda Kennedy Mutisya
3. Gikang'a Ian Gitiba |
| 6 | Visualiization: Ggvis | Investigating The Heating Load Requirements Of A Building As A Function Of Building Parameters Using Ggvis In R |
1.Nyarangi Clive Manwa
2. Thangari Magdalene Wanjiru
3. Onyiego George Omare |
| 7 | Visualiization: Rgl | Rgl: A R-Library For 3D Visualization |
1.Ouko Nickson Onyango
2. Mwirigi Cynthia Kendi
3. Ruchugo Christine Gatwir |
| 8 | Visualiization: Htmlwidgets & D3heatmap | The Kenyan Shilling Against Currencies Of Its Major Trading Partners 2014-2015 |
1.Okundi Faith Kemunto
2. Wanjora Victoria Nduta
3. Jerotich Faith |
| 9 | Visualiization: Leaflet (Maps) | Applications Of R - Packages (Libraries) In Solving Real Problems |
1.Wakonyo Cyrus Maina
2. Koros Anaklet Kiptanui
3. Hussein Vincent Gari |
| 10 | Visualiization: Dygraphs (Time Series) | Dygraphs (Interface To Dygraphs Interactive Time Series Charting Library) |
1.Juliet Atellah
2. Kevin Obede
3. Odera Jaco |
| 11 | Visualiization: Dynamicdistribution | The Application Of Dynamic Probability Distributions And Their Moments In The Stock Exchange Market To Create A Basic Trading Strategy |
1.Migwi Mercy Wambui
2. Munzala Jacklyne Anota
3. Odhiambo Margaret Amond |
| 12 | Visualiization: Diagrammer (Diagrams) | Application Of Diagrammer To Creation Of Network Diagram For Construction Management. |
1.Omwega Richard Mogire
2. Misto Musa Riteng'ole
3. Wanjiru Maureen Wanjira |
| 13 | Visualiization: Dna | Applications Of Computational Data Methods In Statistical Structure For Differential Network Analysis From Microarray Data. |
1.Ngigi Githinji Michael
2. Pesa Paul Dache
3. Kavina Mandal |
| 14 | Visualiization: Googlevis | Population Changes In Kenya 1962-2009, By Provinces,Using The Google Visualisation (Googlevis Package) With R |
1.Ondijo Ouma
2. Eunice Awino
3. Andrew Karan |
| 15 | Modelling: Dtt | Capital Markets: The Role Of Package Dtt( ) In Financial Signal Processing. |
1.Laurine Atieno O.
2. Wycliffe Kiplagat
3. Njakai Francis M. |
| 16 | Modelling: Dyn | Time Series Regression Of Microsoft Stock Prices. |
1.May Mumbua Peter
2. Kennedy Ayieye
3. Moses Ochien |
| 17 | Modelling: Car | The Use Of R - Car Package To Analyse The Impact Of Advertisements On Products' Inquiries |
1.Benson N. Wangari
2. Nyongesa K. Wanjala
3. Kibet Rodgers Kimaru |
| 18 | Modelling: Mgcv | Application Of The Mgcv Package In The Analysis Of Generalised Additive Models In R |
1.Simiyu Esther Nekesa
2. Koileken Kiok
3. Muruthi Jimmy Thuo |
| 19 | Modelling: Lme4/Nlme | Modelling Survival After A Heart Attack |
1.Makokha Christopher Watitwa
2. Kisia Kathleen Kache
3. Mwachofi Johnstone Mwakisha |
| 20 | Modelling: Randomforest | Random Forests |
1.Mwangi Benjamin Kariuki
2. Gidoi Vincent
3. Mahaga Edward Moses |
| 21 | Modelling: Multcomp | Multiple Comparisons On A Shares' Price List Model. |
1.Leonard Waweru
2. Ian Kinoti
3. Alfred Mutali |
| 22 | Modelling: Vcd | Visualizing Categorical Data |
1.Kiprop Ian Orogon
2. Khisa N. Mary
3. Thuo Mary Wacuk |
| 23 | Modelling: Glmnet | Lasso And Elastic-Net Regression With Cross Validation Using Apple Inc. Daily Stock Prices |
1.Githinji Geoffery Kanyi
2. Omondi Norbert Onyach
3. Onyiego Pauline Kwamboka |
| 24 | Modelling: Survival | Investigating The Mortality Of Hiv Positive Patients |
1.Mwangi James Chege
2. Kipngeno Patrick
3. Onyango Phelix Ojwang |
| 25 | Reporting: R Markdown | A Descriptive Model Of Forest Fires. |
1.Mugenya Lorine
2. Akidiva Marlone Amata
3. Agutu Dishon Odeny |
| 26 | Reporting: Xtable | Data Analysis On Accidents Rates Using Ntsb Data In The R-Xtable Package. |
1.Joshua Letangule
2. Songok Beulah Cherono
3. Brian Kamau Mwaura |
| 27 | Reporting: Popgenome & Popgenreport | Population Genomic Analysis In R With Popgenomie And Popgenreport |
1.Bush George Rairo
2. Cyprian Nyarieko Nyamwaro
3. Kinyinye Esther Wanjir |
| 28 | Reporting: Reportrx & Reports | The Application Of Report Rx And Reports Libraries As Tools For Automatically Generating Reproducible Clinical Reports. |
1.Faith Tsaiko Mwaka
2. Odede Grace S. A.
3. Patrick Mugo W. |
| 29 | Spatial, Gen Comp/Analysis: Sp, Maptools, Maps | Drawing Map Polygons Using Spatial Data |
1.Lilian Kutah
2. Margaret Njambi
3. Nyamboque Winnie Adhiambo |
| 30 | Spatial, Gen Comp/Analysis: Ggmap | Using Ggmaps To Show The Balck Spots In Nairobi County And How To Curb Road Accidents |
1.Amenya Kevin Charles
2. Githinji Gabriel Rugo
3. Mairura Judy Kwamboka |
| 31 | Spatial, Gen Comp/Analysis: Rootsolve | Package Rootsolve : Roots, Gradients And Steady-States In R |
1.Ali Hafsa Abdulaziz
2. Bramwel Cheruiyot
3. Muriuki Dickson |
| 32 | Spatial, Gen Comp/Analysis: Rqda | Qualitative Research On Whatsapp Vs Sms (Short Message) Using Rqda. |
1.Rhodah Matrobah Saisi
2. Kahuro Kelvin Ngure
3. Kiptum Jebichii Marion |
| 33 | Spatial, Gen Comp/Analysis: Rrlda | Robust Regularized Linear Discriminant Analysis.(Rrlda) |
1.Ngugi Fidelis Mukami.
2. Nyajuoga Beryl Terryl
3. Kuria Lilian Nungari |
| 34 | Spatial, Gen Comp/Analysis: Rsca | Application Of Rsca In Multivariate Air Quality Modelling |
1.Isaac Makumi
2. Kogie Maureen
3. Januaries Munyao |
