Jens Sauer
066d6cedf4
This adds ggplots to visualize the number of ascts per diagnosis per year in various methods: * Histogram * Density plot * Frequency plot * Scatter plot
55 lines
1.5 KiB
R
55 lines
1.5 KiB
R
# Visualize basics from data
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#
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# License: GPL version 3
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# Jens Mathis Sauer (c) 2020
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source("utils.R")
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sma_init()
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sma_hist_asct_age <- function() {
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data <- data.frame(asct_age = secmal$asct_age)
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ggplot(data, aes(x = asct_age)) + geom_histogram(binwidth = 5)
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}
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sma_hist_asct_year <- function() {
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data <- data.frame(asct_year = secmal$asct_year)
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ggplot(data, aes(x = asct_year)) + geom_histogram(binwidth = 1)
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}
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i_dx_year_data <- function() {
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return(data.frame(asct_year = secmal$asct_year, dx = secmal$diagnosis))
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}
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sma_hist_dx_year <- function() {
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data <- i_dx_year_data()
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ggplot(data, aes(x = asct_year, colour = dx, fill = dx)) +
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geom_histogram(binwidth = 1)
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}
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sma_dens_dx_year <- function() {
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data <- i_dx_year_data()
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ggplot(data, aes(x = asct_year, colour = dx, fill = dx)) +
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geom_density(alpha = 0.5)
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}
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sma_freq_dx_year <- function() {
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data <- i_dx_year_data()
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ggplot(data, aes(x = asct_year, colour = dx)) +
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geom_freqpoly(binwidth = 1)
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}
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sma_jitt_dx_year <- function() {
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data <- i_dx_year_data()
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ggplot(data, aes(x = asct_year, y = dx, colour = dx, fill = dx)) +
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geom_jitter(width = 0.4, height = 0.2)
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}
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sma_plot_file_hist <- function() {
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sma_plot_file("hist_asct_age.png", png, sma_hist_asct_age)
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sma_plot_file("hist_asct_year.png", png, sma_hist_asct_year)
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sma_plot_file("dx_year_hist.png", png, sma_hist_dx_year)
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sma_plot_file("dx_year_dens.png", png, sma_dens_dx_year)
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sma_plot_file("dx_year_freq.png", png, sma_freq_dx_year)
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sma_plot_file("dx_year_jitt.png", png, sma_jitt_dx_year)
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}
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