I will perform anova, experimental design analysis and data visualization in r


About this gig
Are you looking for professional statistical analysis and publication-grade graphics for your experimental research?
I specialize in analyzing agricultural, biological, and scientific experimental data using R and RStudio. Whether you are conducting field trials or lab screenings, I deliver precise statistical models and clear, modern visualizations.
Services Included:
- Experimental Design Analysis: RCBD, Split-Plot, CRD, and multi-location trials
- ANOVA & Mean Separation: Multi-factor ANOVA, Tukey's HSD, LSD, and DMRT tests
- Phenotypic Screening Plots: High-resolution violin plots, faceted boxplots, jitter overlays, and density curves
- Reproducible Workflows: Clean, fully commented R code scripts
R Packages Used: ggplot2 | agricolae | dplyr | patchwork | car | emmeans
Why Work With Me?
- Specialized expertise in plant breeding, agronomy, and biological sciences
- Publication-ready high-resolution vector output (300+ DPI, PDF, PNG, SVG)
- Transparent communication and fast delivery
Please contact me before placing an order to discuss your dataset and requirements!
Get to know Marium
I will do R programming, statistical data analysis, and professional visualizati
- FromPakistan
- Member sinceSep 2026
- Avg. response time1 hour
Languages
Urdu, English
My Portfolio
FAQ
What file formats or data structures do I need to provide?
You can provide your dataset in Excel (.xlsx, .xls), CSV, or RData formats. Please ensure your data is organized with clear column headers (e.g., Treatments, Replications, Genotypes, Traits) so it is ready for statistical modeling.
Can you handle complex experimental designs like Split-Plot or RCBD?
Yes! I specialize in multi-factor ANOVA for Randomized Complete Block Designs (RCBD), Split-Plot designs, Completely Randomized Designs (CRD), and multi-location field or greenhouse trials.
Do you provide the full R code used for the analysis?
Absolute transparency and reproducibility are key in scientific research. Depending on your package selection (or via add-ons), I deliver clean, fully commented R code scripts alongside your final outputs.
Will the generated figures meet journal submission requirements?
Yes. All visualizations are delivered as high-resolution vector and raster files (300+ DPI, PDF, PNG, SVG) matching standard typography, sizing, and color requirements for peer-reviewed journal submission (e.g., Elsevier, Springer, Nature).
What post-hoc mean separation tests do you perform?
Depending on your experimental goals, I can perform Tukey’s HSD, Least Significant Difference (LSD), Duncan’s Multiple Range Test (DMRT), or Dunnett’s test, complete with compact letter displays (CLD) overlaid on your plots.

