Differences in climate parameters among months were analyzed using one-way analysis of variance (ANOVA). Differences in growth performance, blood parameters, and rumen fluid parameters due to month and dietary treatment were analyzed using repeated-measures two-way ANOVA. The statistical model included month, diet, and their interaction. Significance was determined at a level of p<0.05. All statistical tests were performed using the R Studio for Windows software (R Studio, Boston, MA, USA).
R studio for windows software
Manufactured by Posit
Sourced in United States
RStudio is an integrated development environment (IDE) for the R programming language. It provides a user-friendly interface for writing, running, and managing R code. The software supports various R features, including data manipulation, statistical analysis, and visualization.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using r studio for windows software
1
Analyzing Climate and Animal Responses
2
Analyzing Climate and Growth Impacts
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Differences in climate data by month were analyzed with one-way analysis of variance (ANOVA). Differences in growth performance, blood parameters, and rumen fluid parameters by month and dietary treatment were analyzed using a repeated-measures two-way ANOVA. The statistical model included month, diet, and their interaction. A p value less than 0.05 was considered to indicate significance. All statistical tests were performed using R Studio for Windows software (R Studio, Boston, MA, USA).
3
Analyzing Climate and Growth Data
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Climate data differences between months were analyzed using an one-way analysis of variance (ANOVA). Differences in growth performance and rectal temperatures, by dietary treatment and month, were analyzed using a two-way ANOVA. The repeated-measured two-way ANOVA and Tukey-Kramer test was used for blood parameters. The statistical model included diet, month, and their interaction. A p<0.05 was considered significant. All statistical tests were performed using R Studio for Windows software (R Studio, Boston, MA, USA).
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