I'm so confused
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+32
-12
@@ -1,9 +1,12 @@
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library(readr)
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library(EnvStats)
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# install.packages(c("readr", "EnvStats"))
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# set working directory (relative path)
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setwd("~/Desktop/R/Lab 1/")
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# paste function my beloved <3
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setwd(paste(getwd(), "Lab 1", sep="/"))
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# read data
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epi.data <- read_csv("epi_results_2024_pop_gdp.csv")
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@@ -12,7 +15,7 @@ epi.data <- read_csv("epi_results_2024_pop_gdp.csv")
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View(epi.data)
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# print summary of variables in dataframe
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summary(epi.data$RLI.new)
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summary(epi.data$epi_results_2024_pop_gdp.csv.new)
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# print values in variable
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epi.data$RLI.new
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@@ -58,7 +61,7 @@ PHL.noNA
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PHL.above30 <- PHL.noNA[PHL.noNA>30]
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PHL.above30
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# stats
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summary(PHL.above30)
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@@ -69,21 +72,38 @@ boxplot(RLI, PHL.above30, names = c("RHI","PHL"))
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### Histograms ###
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# histogram (frequency distribution)
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hist(RLI)
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# hist(RLI)
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# define sequence of values over which to plot histogram
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x <- seq(20., 80., 10)
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# I have NO IDEA why this keep breaking but I just started using the range func
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rng <- range(RLI, na.rm = TRUE)
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lo <- floor(rng[1] / 5) * 5
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hi <- ceiling(rng[2] / 5) * 5
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brks <- seq(lo, hi, by = 1)
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# WHY????? WHY IS IT BREAKING????
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# [1] "range 0 lo 0 hi 100 brks 50" "range 97.7 lo 0 hi 100 brks 50"
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# Error in freq && !equidist : 'length = 15' in coercion to 'logical(1)'
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# Calls: hist -> hist.default -> plot -> plot.histogram
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# Execution halted
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print(paste("range", rng, "lo", lo, "hi", hi, "brks", brks))
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hist(RLI,
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breaks = brks,
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prob = TRUE)
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x <- seq(20, 90, by = 5)
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# histogram (frequency distribution) over range
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hist(RLI, x, prob=TRUE)
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hist(RLI, x, breaks=brks, prob=TRUE)
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# print estimated density curve for variable
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lines(density(RLI,na.rm=TRUE,bw=1.)) # or try bw=“SJ”
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lines(density(RLI, na.rm=TRUE)) # or try bw=“SJ”
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# print rug
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rug(RLI)
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x <- seq(20., 80., 5)
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x <- seq(5., 95., 5)
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# histogram (frequency distribution) over rabge
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hist(RLI, breaks = "FD", prob=TRUE)
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@@ -99,7 +119,7 @@ rug(RLI)
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hist(RLI.new, breaks = "FD", prob=TRUE)
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# range
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x1<-seq(20,80,1)
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x1<-seq(5,95,1)
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# generate probability density values for a normal distribution with given mean and sd
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d1 <- dnorm(x1,mean=45, sd=11,log=FALSE)
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@@ -136,8 +156,8 @@ qqnorm(x); qqline(x)
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# print quantile-quantile plot for variable with any theoretical distribution
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qqplot(rnorm(180), RLI.new.sub, xlab = "Q-Q plot for norm dsn")
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qqline(RLI.new.sub)
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qqplot(rnorm(180), RLI.sub, xlab = "Q-Q plot for norm dsn")
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qqline(RLI.sub)
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# print quantile-quantile plot for 2 variables
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qqplot(RLI, PHL, xlab = "Q-Q plot for RHI vs PHL")
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