docs: add rstudio docs

docs/ide_integration/r_studio.md

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+# Developing R scripts in RStudio
+
+You can use `pixi` to manage your R dependencies. The conda-forge channel contains a wide range of R packages that can be installed using `pixi`.
+
+## Installing R packages
+
+R packages are usually prefixed with `r-` in the conda-forge channel. To install an R package, you can use the following command:
+
+```bash
+pixi add r-<package-name>
+# for example
+pixi add r-ggplot2
+```
+
+## Using R packages in RStudio
+
+To use the R packages installed by `pixi` in RStudio, you need to run `rstudio` from an activated environment. This can be achieved by running RStudio from `pixi shell` or from a task in the `pixi.toml` file.
+
+## Full example
+
+The full example can be found here: [RStudio example](https://github.com/prefix-dev/pixi/tree/main/examples/r).
+Here is an example of a `pixi.toml` file that sets up an RStudio task:
+
+```toml
+[project]
+name = "r"
+channels = ["conda-forge"]
+platforms = ["linux-64", "osx-64", "osx-arm64"]
+
+[target.linux.tasks]
+rstudio = "rstudio"
+
+[target.osx.tasks]
+rstudio = "open -a rstudio"
+# or alternatively with the full path:
+# rstudio = "/Applications/RStudio.app/Contents/MacOS/RStudio"
+
+[dependencies]
+r = ">=4.3,<5"
+r-ggplot2 = ">=3.5.0,<3.6"
+```
+
+Once RStudio has loaded, you can execute the following R code that uses the `ggplot2` package:
+
+```R
+# Load the ggplot2 package
+library(ggplot2)
+
+# Load the built-in 'mtcars' dataset
+data <- mtcars
+
+# Create a scatterplot of 'mpg' vs 'wt'
+ggplot(data, aes(x = wt, y = mpg)) +
+  geom_point() +
+  labs(x = "Weight (1000 lbs)", y = "Miles per Gallon") +
+  ggtitle("Fuel Efficiency vs. Weight")
+```
+
+!!! Note
+    This example assumes that you have installed RStudio system-wide.
+    We are working on updating RStudio as well as the R interpreter builds on Windows for maximum compatibility with `pixi`.

examples/r/example-plot.R

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+# Load the ggplot2 package
+library(ggplot2)
+
+# Load the built-in 'mtcars' dataset
+data <- mtcars
+
+# Create a scatterplot of 'mpg' vs 'wt'
+ggplot(data, aes(x = wt, y = mpg)) +
+  geom_point() +
+  labs(x = "Weight (1000 lbs)", y = "Miles per Gallon") +
+  ggtitle("Fuel Efficiency vs. Weight")