Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
knitr::opts_chunk$set(fig.width=6, fig.height=5),
collapse = TRUE,
comment = "#>"
)
## ----setup--------------------------------------------------------------------
library(kinematics)
## ----parabolic-create---------------------------------------------------------
mov <- data.frame(t = c(0, 1, 2, 3, 4),
x = c(0, 1, 2, 3, 4),
y = c(0, 1, 4, 9, 16))
## ----parabolic-plot-----------------------------------------------------------
plot(mov$x, mov$y, xlab = "x", ylab = "y")
## ----parabolic-display, echo=FALSE--------------------------------------------
mov
## ----append-------------------------------------------------------------------
mov_analyzed <- append_dynamics(mov)
## ----display, echo=FALSE------------------------------------------------------
mov_analyzed
## ----ggplot-------------------------------------------------------------------
library(ggplot2)
ggplot(data = mov_analyzed,
mapping = aes(x = x, y = y, col = curv_radius, size = aspeed)) +
geom_point() +
scale_color_gradient(low="blue", high="red")
## ----spiral create------------------------------------------------------------
# Generate the times
ts <- seq(0, 10, by = 0.05)
# Calculate the positions using a function
xs <- ts * cos(ts)
ys <- ts * sin(ts)
# Store as data frame
mov <- data.frame(t = ts,
x = xs,
y = ys)
## ----spiral-plot--------------------------------------------------------------
plot(mov$x, mov$y, xlab = "x", ylab = "y", asp = 1)
## ----spiral-analyzed----------------------------------------------------------
mov_analyzed <- append_dynamics(mov)
## ----spiral-ggplot------------------------------------------------------------
ggplot(data = mov_analyzed,
mapping = aes(x = x, y = y, col = curv_radius, size = aspeed)) +
geom_point(alpha = 0.5) +
coord_fixed() +
scale_color_gradient(low="blue", high="red")
## ----load-data----------------------------------------------------------------
mov <- kinematics::example_mov
plot(mov$x, mov$y, xlab = "x", ylab = "y", asp = 1)
## ----analyze-data-------------------------------------------------------------
mov_analyzed <- append_dynamics(mov)
## ----plot-data----------------------------------------------------------------
ggplot(data = mov_analyzed,
mapping = aes(x = x, y = y, col = aaccel, size = aspeed)) +
geom_point(alpha = 0.1) +
coord_fixed() +
scale_color_gradient(low="blue", high="red")
## ----hist-data----------------------------------------------------------------
hist(mov_analyzed$aaccel,
breaks = 500,
xlab = 'Accelerations',
main = 'Acceleration histogram')
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