81 lines
1.3 KiB
Plaintext
81 lines
1.3 KiB
Plaintext
---
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title: 第9次课练习
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---
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```{r}
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require(tidyverse)
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# require(ggplot2)
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require(palmerpenguins)
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penguins |>
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select(species, flipper_length_mm, body_mass_g,
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bill_length_mm, sex) |>
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filter(!is.na(sex)) |>
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ggplot(aes(
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x = species,
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y = body_mass_g
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)) +
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geom_jitter(colour = "white",
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fill = "gray80", size = 1, shape = 21, width = 0.4) +
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geom_violin(fill = "orange", alpha = 0.4) +
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stat_summary(fun = mean) +
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scale_size_continuous(range = c(.5, 2)) +
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# ggsci::scale_fill_d3() +
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ylab("Body mass (g)") +
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ggtitle("Body mass and flipper length") +
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theme(axis.text.x = element_text(angle = 90),
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panel.background = element_rect(fill = NA)
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)
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ggplot2::last_plot()
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ggsave("../img/penguins.pdf", width = 4, heigh = 3)
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+
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dwfun::theme_sci(5, 5)
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p1 <- ggplot(penguins, aes(x = island, fill = species)) +
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geom_bar(position = "fill")
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p2 <- ggplot(penguins, aes(x = species, fill = island)) +
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geom_bar(position = "fill")
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require(patchwork)
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((p1 / p2) | p1)
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```
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# 消光系数
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```{r}
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licordata <- readRDS("../data/licordata.RDS")
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require(tidyverse)
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licordata |>
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group_by(date, site) |>
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nest(.key = "lightdf") |>
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mutate(m = purrr::map(
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lightdf,
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~ (lm(log(UP + 1) ~ depth, data = .x))
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)) |>
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mutate(k = purrr::map_dbl(m, ~
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-coef(.x)[2])) |>
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ggplot(aes(date, k)) +
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geom_point(aes(fill = site))
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Iz = I0 * exp(-zk)
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```
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