Log In Sign up
The largest database of trusted experimental protocols

R programming software

Manufactured by R Project for Statistical Computing
Visit Supplier
Sourced in United States

R is a free, open-source software environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques, and is highly extensible.

Automatically generated - may contain errors

Lab products found in correlation

Rstudio version, by Posit (1 mentions)

4 protocols using r programming software

1

Survival Analysis of Heart Failure Patients

Check if the same lab product or an alternative is used in the 5 most similar protocols
Baseline characteristics are described as numbers and percentages for categorical variables and mean ± standard deviation for continuous variables. Patient characteristics were compared between groups using a chi-square test for categorical variables, and a Student’s t-test for continuous variables. Event-free survival analyses were conducted using the Kaplan–Meier method with log-rank testing and Cox proportional hazard modeling. Cox proportional hazard models were also used to generate event-free survival plots. Univariable and multivariable Cox regression models were estimated for the death, HF readmission, and composite outcomes. For each variable, an unadjusted hazard ratio (HR) was calculated, and multivariable models were produced based on a list of significant parameters (p < 0.05) at univariable analysis. The missing value was separately designated and excluded from the valid analysis cases. All statistical analyses were performed using SPSS version 22.0 (IBM Corp., Armonk, NY, USA) and R programming software version 4.2.2 (The R Foundation for Statistical Computing, Vienna, Austria). Statistical significance was set at p < 0.05.
Kim H.M., Kim H.L., Kim M.A., Lee H.Y., Park J.J, & Choi D.J. (2023). Sex differences in clinical characteristics and long-term outcome in patients with heart failure: data from the KorAHF registry. The Korean Journal of Internal Medicine, 39(1), 95-109.
+ Open protocol
+ Expand
2

Multivariate Analysis of Research Protocols

Check if the same lab product or an alternative is used in the 5 most similar protocols
Two methods of statistical analysis were utilized during this study: seven MVNLRs and three PCAs were performed using R programming software (R Foundation for Statistical Computing, Vienna, Austria). The built-in multivariate function ‘lm’ and the CRAN package emmeans was utilized in conjunction with variables assembled in non-linear arrangements to create the MVNLR model and to visualize the results.[31 (link)] The R2 value, regression model p-value, and individual variable p-values were assessed to evaluate the relative significance of each variable. The CRAN packages ggfortify, gridExtra, readxl, and dplyr were utilized to perform the PCA analysis. The optimal number of components to include was deduced by interrogating the scree plot of each PCA performed and explaining greater than 80% variance. The resultant significance of the overall analysis and key variables of interest are reported in Supplemental Tables S1–S3. One model was excluded from these analyses due to missing information in their clinical file.
Kolewe E.L., Padhye S., Woodward I.R., Feng Y., Briddell J.W, & Fromen C.A. (2023). A pediatric upper airway library to evaluate interpatient variability of in silico aerosol deposition. AAPS PharmSciTech, 24(6), 162.
+ Open protocol
+ Expand
3

R-Based Statistical Analyses Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analyses were performed using R programming software (The R Foundation, 2015 ).
Holdenrieder S., Wehnl B., Hettwer K., Simon K., Uhlig S, & Dayyani F. (2017). Carcinoembryonic antigen and cytokeratin-19 fragments for assessment of therapy response in non-small cell lung cancer: a systematic review and meta-analysis. British Journal of Cancer, 116(8), 1037-1045.
+ Open protocol
+ Expand
4

In Vitro Degradation Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
The experimental in vitro data were analyzed using R programming software (version 4.0.2; R Foundation for Statistical Computing, Vienna, Austria) with RStudio, version 1.3.1073 (RStudio Inc., Boston, MA, United States). Values of p < 0.05 were considered statistically significant. The results are shown as the mean ± standard deviation (SD) and plotted using R. The R package “lme” was used to fit a generalized linear model (GLM) to predict the respective degradation parameters with the individual time points for mass loss, molecular weight, and crystallinity (time point as fixed factor). The statistics for this study were chosen in accordance with the guidelines provided by biostatisticians from the Research Methods Group of the QUT.
Laubach M., Herath B., Bock N., Suresh S., Saifzadeh S., Dargaville B.L., McGovern J., Wille M.L., Hutmacher D.W, & Medeiros Savi F. (2023). In vivo characterization of 3D-printed polycaprolactone-hydroxyapatite scaffolds with Voronoi design to advance the concept of scaffold-guided bone regeneration. Frontiers in Bioengineering and Biotechnology, 11, 1272348.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!