We build with R
We use R to build statistical models, data analysis pipelines, and visualizations for research and business insight that support your business goals. From exploratory analysis and modeling to reporting and dashboard integration, we create products designed to evolve with your needs.
DISCUSS YOUR PROJECTStatistical Modeling
We build robust models for accurate statistical analysis.
Data Visualization
We turn raw data into clear, publication-ready graphics.
Vast Package Ecosystem
We tap CRAN's vast library of statistical and visualization tools.
BENEFITS OF R technology
We use R to run statistical analyses, build predictive models, and produce clear, reproducible reports.
BUILD
[01]- Design statistical models
- Structure and clean datasets
- Build custom R packages
- Set up reproducible workflows
ENGAGE
[02]- Run statistical analyses
- Generate data visualizations
- Build interactive Shiny apps
- Produce automated reports
GROW
[03]- Scale analyses to larger data
- Integrate with production systems
- Extend with new CRAN packages
- Automate recurring reporting
Our R Technology Stack
We combine R with RStudio, the tidyverse, ggplot2, and Shiny for data manipulation, statistical modeling, visualization, interactive dashboards, and reproducible reporting across your analysis workflow.
Custom R development company
With our R development services, we build statistical models, data visualizations, and interactive reporting tools tailored to your research and business goals. Having years of experience with R, our data scientists and engineers harness its full statistical and graphical capabilities to deliver accurate, reproducible analysis across industries from finance to pharmaceutical research. Whether it's a new analytics pipeline or modernizing an existing statistical workflow, we build reliable, well-documented, and scalable R solutions. Our range of R development services spans consulting, statistical modeling, data visualization, Shiny application development, and ongoing analysis support. We work as your technical partner and ensure complete transparency and comfortable communication throughout the process, bringing deep statistical expertise and a rigorous, evidence-based approach to data analysis and problem-solving. All this to make sure your analyses stay accurate, reproducible, and easy to maintain as your data and research needs grow.
OUR R SERVICES
We build, modernize, and support R analytics systems around your product goals.
Your roadmap is growing faster than your team. Add senior engineering capacity and deliver more without sacrificing quality.
Custom statistical models and predictive analyses built around your research questions and data.
Interactive Shiny dashboards and publication-ready graphics that make your data easy to explore.
Reproducible R Markdown reports and automated pipelines that keep your analysis consistent and current.
Migrate legacy statistical workflows and spreadsheets to R, or refactor an existing R codebase.
We Turn Technology Into Results
Partner with a team that blends technical precision, creative design, and business insight. We’ll help you launch, scale, and dominate your digital niche.
Frequently Asked Questions
Common questions about how we use R and what it can bring to your project. Have a specific requirement?
How does SoftDoes use R?
We use R to build statistical models, data visualizations, and automated reporting tools for research, finance, and other data-driven projects. We select packages and workflow structure around your data and analysis goals.
What types of projects do you build with R?
We build statistical analysis pipelines, interactive Shiny dashboards, automated reporting systems, and bioinformatics tools, from exploratory research scripts to production analytics systems.
Can R integrate with our existing systems?
Yes. R connects to databases, APIs, and cloud storage, and can run as part of a larger pipeline alongside other languages and tools you already use.
Do you build interactive applications with R?
Yes, we use Shiny to turn R analyses into interactive web applications and dashboards that let non-technical users explore data and results directly.
Can you migrate our analysis from Excel, SPSS, or SAS to R?
Yes. We translate existing statistical workflows and spreadsheets into R scripts and packages, making your analysis more reproducible, auditable, and easier to maintain.
Can you modernize an existing R codebase?
Yes. We can refactor outdated R scripts into structured, tested packages, or rebuild a legacy analysis pipeline, depending on your timeline and current setup.
How do you decide whether R fits a project?
We look at your data, statistical requirements, team skillset, and existing tools, then confirm R is the right fit before starting development.
