(This article was first published on

**Triad sou.**, and kindly contributed to R-bloggers)RcmdrPlugin.KMggplot2 (CRAN)

I posted an Rcmdr plug-in for a "ggplot2" GUI front-end on CRAN.

This version supports Kaplan-Meier plot and other plots as follow:

- Kaplan-Meier plot
- Show no. at risk on inside
- Show no. at risk table on outside

- Histogram
- Color coding
- Density estimation

- Q-Q plot
- Create plots based on a maximum likelihood estimate for the parameters of the selected theoretical distribution
- Create plots based on a user-specified theoretical distribution

- Box plot / Errorbar plot
- Box plot
- Mean ± S.D.
- Mean ± S.D. (Bar plot)
- 95% Confidence interval (t distribution)
- 95% Confidence interval (bootstrap)

- Scatter plot
- Fitting a linear regression
- Smoothing with LOESS for small datasets or GAM with a cubic regression basis for large data

- Scatter plot matrix
- Fitting a linear regression
- Smoothing with LOESS for small datasets or GAM with a cubic regression basis for large data

- Line chart
- Normal line chart
- Line char with a step function
- Area plot

- Pie chart
- Bar chart for discrete variables
- Contour plot
- Color coding
- Heat map

- Distribution plot
- Normal distribution
- t distribution
- Chi-square distribution
- F distribution
- Exponential distribution
- Uniform distribution
- Beta distribution
- Cauchy distribution
- Logistic distribution
- Log-normal distribution
- Gamma distribution
- Weibull distribution
- Binomial distribution
- Poisson distribution
- Geometric distribution
- Hypergeometric distribution
- Negative binomial distribution

#### Menu tree

#### Kaplan-Meier plot

#### Histogram

#### Q-Q plot

#### Box plot / Errorbar plot

#### Scatter plot

#### Scatter plot matrix

#### Line chart

#### Pie chart

#### Bar chart for discrete variables

#### Contour plot

#### Distribution plot

To

**leave a comment**for the author, please follow the link and comment on his blog:**Triad sou.**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...