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Fix figures location
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README.md

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[![fair-software.eu](https://img.shields.io/badge/fair--software.eu-%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8B-yellow)](https://fair-software.eu)
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[![Downloads](https://cranlogs.r-pkg.org/badges/kinematics)](https://cran.r-project.org/web/packages/kinematics/index.html)
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# Kinematics <img src="inst/img/logo.png" width="120" align="right" />
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# Kinematics <img src="man/figures/logo.png" width="120" align="right" />
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Allows analyzing time series representing two-dimensional movements.
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It accepts a data frame with a time (t), horizontal (x) and vertical (y)
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plot(mov$x, mov$y, xlab = "x", ylab = "y")
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```
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![](inst/img/parabolic-plot-1.png)
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![](man/figures/parabolic-plot-1.png)
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Notice that the insides of the data frame look like below:
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scale_color_gradient(low="blue", high="red")
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```
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![](inst/img/ggplot-1.png)
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![](man/figures/ggplot-1.png)
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## More realistic examples
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plot(mov$x, mov$y, xlab = "x", ylab = "y", asp = 1)
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```
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![](inst/img/spiral-plot-1.png)
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![](man/figures/spiral-plot-1.png)
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And repeating the analysis shown in the previous example, we can
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significantly enrich the features we can see on the data. For instance,
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scale_color_gradient(low="blue", high="red")
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```
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![](inst/img/spiral-ggplot-1.png)
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![](man/figures/spiral-ggplot-1.png)
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### Sampled curve
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plot(mov$x, mov$y, xlab = "x", ylab = "y", asp = 1)
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```
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![](inst/img/load-data-1.png)
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![](man/figures/load-data-1.png)
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Using `append_dynamics` we can extract a lot of significant information:
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And this is an example of how our analysis enriches the information
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scale_color_gradient(low="blue", high="red")
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```
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![](inst/img/plot-data-1.png)
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![](man/figures/plot-data-1.png)
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Or a histogram about accelerations:
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main = 'Acceleration histogram')
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```
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![](inst/img/hist-data-1.png)
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![](man/figures/hist-data-1.png)
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## Citation
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