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Development #302

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10 changes: 0 additions & 10 deletions R/plt-visualize-walks.R
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Expand Up @@ -58,16 +58,6 @@
#' rw30() |>
#' visualize_walks()
#'
#' # Set the alpha value to be other than the default 0.7
#' set.seed(123)
#' rw30() |>
#' visualize_walks(.alpha = 0.5)
#'
#' # Use the function with an input that has alternatives for y
#' set.seed(123)
#' random_normal_walk(.num_walks = 5, .initial_value = 100) |>
#' visualize_walks()
#'
#' # Use the function to create interactive visualizations
#' set.seed(123)
#' random_normal_walk(.num_walks = 5, .initial_value = 100) |>
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2 changes: 1 addition & 1 deletion README.Rmd
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Expand Up @@ -221,7 +221,7 @@ Contributions are welcome! Please feel free to submit a Pull Request. For major

## 📄 License

This package is licensed under the MIT License. See [LICENSE.md](LICENSE.md) for details.
This package is licensed under the MIT License. See [LICENSE.md](https://github.com/spsanderson/RandomWalker/blob/main/LICENSE.md) for details.

## 👥 Authors

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104 changes: 53 additions & 51 deletions README.md
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Expand Up @@ -75,15 +75,15 @@ head(walks, 10)
#> walk_number step_number y
#> <fct> <int> <dbl>
#> 1 1 1 0
#> 2 1 2 -0.315
#> 3 1 3 0.413
#> 4 1 4 -0.351
#> 5 1 5 -1.53
#> 6 1 6 -2.44
#> 7 1 7 -3.19
#> 8 1 8 -3.58
#> 9 1 9 -4.95
#> 10 1 10 -3.75
#> 2 1 2 0.952
#> 3 1 3 0.573
#> 4 1 4 0.292
#> 5 1 5 1.06
#> 6 1 6 1.39
#> 7 1 7 0.727
#> 8 1 8 0.186
#> 9 1 9 -0.305
#> 10 1 10 -0.310
```

### Visualize Random Walks
Expand All @@ -108,7 +108,7 @@ rw30() |>
#> # A tibble: 1 × 16
#> fns fns_name dimensions mean_val median range quantile_lo quantile_hi
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 rw30 Rw30 1 -0.624 -0.900 49.1 -13.9 18.7
#> 1 rw30 Rw30 1 -0.0134 0.302 43.1 -16.9 11.5
#> # ℹ 8 more variables: variance <dbl>, sd <dbl>, min_val <dbl>, max_val <dbl>,
#> # harmonic_mean <dbl>, geometric_mean <dbl>, skewness <dbl>, kurtosis <dbl>

Expand All @@ -119,27 +119,28 @@ rw30() |>
#> # A tibble: 10 × 17
#> walk_number fns fns_name dimensions mean_val median range quantile_lo
#> <fct> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 rw30 Rw30 1 3.88 3.90 10.6 -0.636
#> 2 2 rw30 Rw30 1 0.848 0.922 10.4 -3.85
#> 3 3 rw30 Rw30 1 3.32 3.09 10.2 -0.536
#> 4 4 rw30 Rw30 1 -3.40 -3.30 10.2 -7.30
#> 5 5 rw30 Rw30 1 7.28 7.04 13.7 1.10
#> 6 6 rw30 Rw30 1 -8.04 -9.73 19.2 -18.0
#> 7 7 rw30 Rw30 1 -2.50 -2.56 11.3 -6.96
#> 8 8 rw30 Rw30 1 -0.348 -0.426 7.21 -3.41
#> 9 9 rw30 Rw30 1 7.19 5.56 16.2 1.44
#> 10 10 rw30 Rw30 1 1.42 1.44 12.8 -4.34
#> 1 1 rw30 Rw30 1 0.834 0.911 11.3 -4.14
#> 2 2 rw30 Rw30 1 -1.63 -1.22 9.43 -5.97
#> 3 3 rw30 Rw30 1 7.51 7.34 14.3 0.579
#> 4 4 rw30 Rw30 1 10.8 11.7 18.4 -0.147
#> 5 5 rw30 Rw30 1 -3.51 -3.96 12.8 -8.49
#> 6 6 rw30 Rw30 1 6.98 8.40 21.8 -1.90
#> 7 7 rw30 Rw30 1 0.392 0.458 11.1 -4.98
#> 8 8 rw30 Rw30 1 -0.0693 -0.495 9.60 -3.34
#> 9 9 rw30 Rw30 1 7.54 7.56 11.7 1.55
#> 10 10 rw30 Rw30 1 -9.22 -8.86 19.6 -18.5
#> # ℹ 9 more variables: quantile_hi <dbl>, variance <dbl>, sd <dbl>,
#> # min_val <dbl>, max_val <dbl>, harmonic_mean <dbl>, geometric_mean <dbl>,
#> # skewness <dbl>, kurtosis <dbl>
```

### Double pendulum trajectories

Simulate continuous-time pendulum motion from randomized starting angles.
The solver (`deSolve`) and animation packages (`gganimate`, `gifski`) are optional.
Simulate continuous-time pendulum motion from randomized starting
angles. The solver (`deSolve`) and animation packages (`gganimate`,
`gifski`) are optional.

```r
``` r
set.seed(287)
pendulum <- double_pendulum_walk(.num_walks = 2, .n = 101)
plot_double_pendulum(pendulum, .walk = 1)
Expand All @@ -166,7 +167,7 @@ random_normal_walk(
visualize_walks()
```

<img src="man/figures/README-custom_examples-1.png" width="100%" />
<img src="man/figures/README-custom_examples-1.png" alt="" width="100%" />

``` r

Expand All @@ -181,7 +182,7 @@ geometric_brownian_motion(
visualize_walks()
```

<img src="man/figures/README-custom_examples-2.png" width="100%" />
<img src="man/figures/README-custom_examples-2.png" alt="" width="100%" />

### 2. Multi-Dimensional Random Walks

Expand All @@ -190,37 +191,37 @@ geometric_brownian_motion(
random_normal_walk(.num_walks = 3, .n = 100, .dimensions = 2) |>
head(10)
#> # A tibble: 10 × 14
#> walk_number step_number x y cum_sum_x cum_prod_x cum_min_x
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 0.0268 -0.0711 0.0268 0 0.0268
#> 2 1 2 0.0268 0.0582 0.0536 0 0.0268
#> 3 1 3 -0.195 -0.0251 -0.141 0 -0.195
#> 4 1 4 -0.0504 -0.148 -0.192 0 -0.195
#> 5 1 5 0.00382 0.0865 -0.188 0 -0.195
#> 6 1 6 0.131 0.139 -0.0567 0 -0.195
#> 7 1 7 0.0420 0.0549 -0.0148 0 -0.195
#> 8 1 8 0.0384 -0.0772 0.0236 0 -0.195
#> 9 1 9 -0.258 0.149 -0.234 0 -0.258
#> 10 1 10 -0.195 0.144 -0.429 0 -0.258
#> walk_number step_number x y cum_sum_x cum_prod_x cum_min_x
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 -0.0474 -0.117 -0.0474 0 -0.0474
#> 2 1 2 0.0274 -0.0564 -0.0201 0 -0.0474
#> 3 1 3 0.142 0.0586 0.122 0 -0.0474
#> 4 1 4 -0.103 0.276 0.0189 0 -0.103
#> 5 1 5 0.0206 -0.134 0.0395 0 -0.103
#> 6 1 6 -0.131 0.0759 -0.0919 0 -0.131
#> 7 1 7 -0.120 0.0155 -0.211 0 -0.131
#> 8 1 8 -0.0595 0.0214 -0.271 0 -0.131
#> 9 1 9 0.159 0.0155 -0.112 0 -0.131
#> 10 1 10 -0.233 0.178 -0.345 0 -0.233
#> # ℹ 7 more variables: cum_max_x <dbl>, cum_mean_x <dbl>, cum_sum_y <dbl>,
#> # cum_prod_y <dbl>, cum_min_y <dbl>, cum_max_y <dbl>, cum_mean_y <dbl>

# 3D random walk
random_normal_walk(.num_walks = 2, .n = 50, .dimensions = 3) |>
head(10)
#> # A tibble: 10 × 20
#> walk_number step_number x y z cum_sum_x cum_prod_x
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 0.190 0.147 0.0425 0.190 0
#> 2 1 2 -0.0333 -0.0159 0.0287 0.157 0
#> 3 1 3 0.124 -0.0312 0.0523 0.281 0
#> 4 1 4 -0.0133 -0.00990 -0.0491 0.267 0
#> 5 1 5 0.0863 -0.0759 -0.106 0.354 0
#> 6 1 6 -0.0173 -0.0564 0.0971 0.336 0
#> 7 1 7 0.0345 -0.0564 -0.0301 0.371 0
#> 8 1 8 0.0345 0.222 0.108 0.405 0
#> 9 1 9 -0.0566 -0.0325 0.0971 0.349 0
#> 10 1 10 0.104 0.199 0.123 0.453 0
#> walk_number step_number x y z cum_sum_x cum_prod_x
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 -0.0119 -0.0963 0.154 -0.0119 0
#> 2 1 2 0.0345 -0.103 -0.278 0.0225 0
#> 3 1 3 0.139 -0.0586 -0.0603 0.162 0
#> 4 1 4 -0.0636 -0.0963 0.00208 0.0983 0
#> 5 1 5 -0.174 -0.170 0.0608 -0.0755 0
#> 6 1 6 0.124 -0.0995 0.112 0.0480 0
#> 7 1 7 -0.111 0.00989 -0.0555 -0.0633 0
#> 8 1 8 -0.0505 -0.159 0.00208 -0.114 0
#> 9 1 9 0.0366 -0.0686 0.00471 -0.0772 0
#> 10 1 10 0.00216 -0.131 -0.0555 -0.0750 0
#> # ℹ 13 more variables: cum_min_x <dbl>, cum_max_x <dbl>, cum_mean_x <dbl>,
#> # cum_sum_y <dbl>, cum_prod_y <dbl>, cum_min_y <dbl>, cum_max_y <dbl>,
#> # cum_mean_y <dbl>, cum_sum_z <dbl>, cum_prod_z <dbl>, cum_min_z <dbl>,
Expand All @@ -242,7 +243,7 @@ discrete_walk(
visualize_walks()
```

<img src="man/figures/README-discrete_examples-1.png" width="100%" />
<img src="man/figures/README-discrete_examples-1.png" alt="" width="100%" />

## 📚 Available Random Walk Types

Expand Down Expand Up @@ -310,7 +311,8 @@ like to change.
## 📄 License

This package is licensed under the MIT License. See
[LICENSE.md](LICENSE.md) for details.
[LICENSE.md](https://github.com/spsanderson/RandomWalker/blob/main/LICENSE.md)
for details.

## 👥 Authors

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4 changes: 2 additions & 2 deletions cran-comments.md
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@@ -1,5 +1,5 @@
## R CMD check results

0 errors | 0 warnings | 1 note
0 errors | 0 warnings | 2 note

* This is a major release 1.0.0
* This is a minor release 1.1.0
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2 changes: 1 addition & 1 deletion vignettes/faq.Rmd
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Expand Up @@ -508,7 +508,7 @@ citation("RandomWalker")

Yes! Join us on:
- [GitHub Discussions](https://github.com/spsanderson/RandomWalker/discussions)
- Follow [@spsanderson](https://twitter.com/spsanderson) on Twitter
- Follow [@steveondata](https://t.me/steveondata) on Telegram

## Contributing

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