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| make_plot_prompt <- ' | |
| Runs R code to make a plot with base R graphics. | |
| Args: | |
| code: R code to run | |
| Returns: | |
| Binary image data | |
| Details: | |
| `code` should be R code that begins with e.g. `png(filename)` and ends with `dev.off()`. | |
| Always use the variable `filename` instead of an actual file name. | |
| Example: User requests "Plot x (1,2,3) and y (10,20,30)", then `code` is: | |
| png(filename) | |
| x <- c(1, 2, 3) | |
| y <- c(10, 20, 30) | |
| plot(x, y) | |
| dev.off() | |
| Example: User requests "Give me a 8.5x11 inch PDF of y = x^2 from -1 to 1, large font, titled with the function", then `code` is: | |
| pdf(filename, width = 8.5, height = 11) | |
| par(cex = 2) | |
| x <- seq(-1, 1, length.out = 100) | |
| y <- x^2 | |
| plot(x, y, type = "l") | |
| title(main = quote(y == x^2)) | |
| dev.off() | |
| Example: User requests "Plot radius_worst (y) vs radius_mean (x) from https://zenodo.org/records/3608984/files/breastcancer.csv?download=1", then `code` is: | |
| png(filename) | |
| df <- read.csv("https://zenodo.org/records/3608984/files/breastcancer.csv?download=1") | |
| plot(df$radius_mean, df$radius_worst, xlab = "radius_worst", ylab = "radius_mean") | |
| dev.off() | |
| Example: User requests "Plot radius_worst (y) vs radius_mean (x)" and [Uploaded File: "/tmp/uploads/breast-cancer.csv"], then `code` is: | |
| png(filename) | |
| df <- read.csv("/tmp/uploads/breast-cancer.csv") | |
| plot(df$radius_mean, df$radius_worst, xlab = "radius_worst", ylab = "radius_mean") | |
| dev.off() | |
| ' | |
| make_ggplot_prompt <- ' | |
| Runs R code to make a plot with ggplot/ggplot2. | |
| Args: | |
| code: R code to run | |
| Returns: | |
| Binary image data | |
| Details: | |
| `code` should be R code that begins with `library(ggplot2)` and ends with `ggsave(filename, device = "png")`. | |
| Example: User requests "ggplot wt vs mpg from mtcars", then `code` is: | |
| library(ggplot2) | |
| ggplot(mtcars, aes(mpg, wt)) + | |
| geom_point() | |
| ggsave(filename, device = "png") | |
| Example: User requests "ggplot wt vs mpg from mtcars as pdf", then `code` is: | |
| library(ggplot2) | |
| ggplot(mtcars, aes(mpg, wt)) + | |
| geom_point() | |
| ggsave(filename, device = "pdf") | |
| Important notes: | |
| - `code` must end with ggsave(filename, device = ) with a specified device. | |
| - Use `device = "png"` unless the user requests a different format. | |
| - Always use the variable `filename` instead of an actual file name. | |
| ' | |
| help_topic_prompt <- ' | |
| Gets documentation for a dataset, function, or other topic. | |
| Args: | |
| topic: Topic or function to get help for. | |
| Returns: | |
| Documentation text. May include runnable R examples. | |
| Examples: | |
| - Show the arguments of the `lm` function: help_topic("lm"). | |
| - Show the format of the `airquality` dataset: help_topic("airquality"). | |
| - Get variables in `Titanic`: help_topic("Titanic"). | |
| ' | |
| help_package_prompt <- ' | |
| Summarizes datasets and functions in an R package. | |
| Args: | |
| package: Package to get help for. | |
| Returns: | |
| Documentation text. Includes a package description and index of functions and datasets. | |
| Examples: | |
| - Get the names of R datasets: help_package("datasets"). | |
| - List graphics functions in base R: help_package("graphics"). | |
| ' | |
| run_visible_prompt <- ' | |
| Runs R code and returns the result. | |
| Does not make plots. | |
| Args: | |
| code: R code to run. | |
| Returns: | |
| Result of R code execution. | |
| ' | |
| run_hidden_prompt <- ' | |
| Run R code without returning the result. | |
| Does not make plots. | |
| Args: | |
| code: R code to run. | |
| Returns: | |
| Nothing. | |
| NOTE: Choose this tool if: | |
| - The user asks to save the result in a variable, or | |
| - You are performing intermediate calculations before making a plot. | |
| ' | |