{"id":15633,"date":"2026-06-20T12:44:33","date_gmt":"2026-06-20T12:44:33","guid":{"rendered":"https:\/\/dev.iita.org\/news-item\/iita-staff-and-partners-trained-on-statistical-analysis-using-r\/"},"modified":"2026-06-29T20:31:21","modified_gmt":"2026-06-29T20:31:21","slug":"iita-staff-and-partners-trained-on-statistical-analysis-using-r","status":"publish","type":"news-item","link":"https:\/\/iita.org\/fr\/news-item\/iita-staff-and-partners-trained-on-statistical-analysis-using-r\/","title":{"rendered":"IITA staff and partners trained on statistical analysis using R"},"content":{"rendered":"Le\u00a0IITA<\/a>\u00a0Capacity Development Office (CDO) facilitated a 4-day training on \u201cStatistical analysis using R programming\u201d from 27 to 30 August. The training taught participants about \u2018R\u2019, the commonly used statistical package for data analysis.\n\nThe trainees were IITA staff and partners from Abuja, Ibadan, Kano, as well as others from Ghana and Mali, who have hands-on roles in managing data.\n
\n\n\"\"\n

Training participants at the statistical analysis training.<\/p>\n\n<\/div>\nIITA Training Manager Stanley Nwachukwu said, \u201cA needs assessment carried out at the end of 2018 revealed that statistical analysis software is becoming more expensive to run. However, unlike other analysis software, R is an open-source program; it is free and allows users to run any program of choice.\u201d\n\nResource persons for the training were Research Fellow Moshood Bakare, Fola Agboola, and Yusuf Muyideen, all staff of the IITA Cassava Breeding Unit. They highlighted the fact that \u201cR programming helps researchers to process data into a meaningful form for decision making.\u201d\n\nAccording to Bakare, \u201cStatistical analysis software is not new to IITA. However, R has many features that other software do not have, which can simplify results from scientific research.\u201d","protected":false},"excerpt":{"rendered":"

The IITA Capacity Development Office (CDO) facilitated a 4-day training on \u201cStatistical analysis using R programming\u201d from 27 to 30 August.<\/p>","protected":false},"featured_media":15634,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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