Details are given of atmospheric pressure at landfall, estimated
damage in millions of dollars, and deaths, for named hurricanes
that made landfall in the US mainland from 1950 through to 2012.
Usage
data("hurricNamed")
Format
A data frame with 94 observations on the following 11 variables.
Name
Hurricane name
Year
Numeric
LF.WindsMPH
Maximum sustained windspeed (>= 1 minute) to occur along
the US coast. Prior to 1980, this is estimated from the maximum
windspeed associated with the Saffir-Simpson index at landfall. If 2
or more landfalls, the maximum is taken
LF.PressureMB
Atmospheric pressure at landfall in
millibars. If 2 or more landfalls, the minimum is taken
LF.times
Date of first landfall
BaseDam2014
Property damage (millions of 2014 US dollars)
BaseDamage
Property damage (in millions of dollars for that year)
NDAM2014
Damage, had hurricane appeared in 2014
AffectedStates
Affected states (2-digit
abbreviations), pasted together
firstLF
Date of first landfall
deaths
Number of continental US direct and indirect deaths
mf
Gender of name; a factor with levels fm
Details
An earlier version of these data was the subject of a controversial
paper that claimed to have found that hurricanes with female names,
presumably because taken less seriously, did more human damage after
adjusting for the severity of the storm than those with male names.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> library(DAAG)
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DAAG/hurricNamed.Rd_%03d_medium.png", width=480, height=480)
> ### Name: hurricNamed
> ### Title: Named US Atlantic Hurricanes
> ### Aliases: hurricNamed
> ### Keywords: datasets
>
> ### ** Examples
>
> data(hurricNamed)
> str(hurricNamed)
'data.frame': 94 obs. of 12 variables:
$ Name : chr "Easy" "King" "Able" "Barbara" ...
$ Year : int 1950 1950 1952 1953 1953 1954 1954 1954 1955 1955 ...
$ LF.WindsMPH : int 120 130 85 85 85 120 120 145 120 85 ...
$ LF.PressureMB : int 958 955 985 987 985 960 954 938 962 987 ...
$ LF.times : int 1 1 1 1 1 2 1 1 1 1 ...
$ BaseDamage : num 3.3 28 2.75 1 0.2 ...
$ NDAM2014 : num 1870 6030 170 65 18 ...
$ AffectedStates: chr "FL" "FL" "SC" "NC" ...
$ firstLF : Date, format: "1950-09-04" "1950-10-17" ...
$ deaths : int 2 4 3 1 0 60 20 20 0 200 ...
$ mf : Factor w/ 2 levels "f","m": 1 2 2 1 1 1 1 1 1 1 ...
$ BaseDam2014 : num 32.42 275.07 24.57 8.87 1.77 ...
> plot(log(deaths+0.5) ~ log(NDAM2014), data=hurricNamed)
> with(hurricNamed, lines(lowess(log(deaths+0.5) ~ log(NDAM2014))))
> plot(log(deaths+0.5) ~ I(NDAM2014^0.14), data=hurricNamed)
> with(hurricNamed, lines(lowess(log(deaths+0.1) ~ I(NDAM2014^0.14))))
>
>
>
>
>
> dev.off()
null device
1
>