[R] Melt and compute Max, Mean, Min
Miluji Sb
milujisb at gmail.com
Fri Nov 18 13:49:05 CET 2016
Dear all,
I have 51 years of data (1960 - 2010) in csv format, where each file
represents one year of data. Below is what each file looks like.
These are temperature data by coordinates, my goal is to to compute max,
min, and mean by year for each of the coordinates and construct a panel
dataset. Any help will be appreciated, thank you!
Sincerely,
Milu
temp <- dput(head(df,5))
structure(list(ISO3 = structure(c(28L, 28L, 28L, NA, 28L), .Label =
c("AFG",
"AGO", "ALB", "ARE", "ARG", "ARM", "AUS", "AUT", "AZE", "BDI",
"BEL", "BEN", "BFA", "BGD", "BGR", "BHS", "BIH", "BLR", "BLZ",
"BOL", "BRA", "BRN", "BTN", "BWA", "CAF", "CAN", "CHE", "CHL",
"CHN", "CIV", "CMR", "COD", "COG", "COL", "CRI", "CUB", "CYP",
"CZE", "DEU", "DJI", "DNK", "DOM", "DZA", "ECU", "EGY", "ERI",
"ESH", "ESP", "EST", "ETH", "FIN", "FJI", "FLK", "FRA", "GAB",
"GBR", "GEO", "GHA", "GIN", "GNB", "GNQ", "GRC", "GRL", "GTM",
"GUF", "GUY", "HND", "HRV", "HTI", "HUN", "IDN", "IND", "IRL",
"IRN", "IRQ", "ISL", "ISR", "ITA", "JAM", "JOR", "JPN", "KAZ",
"KEN", "KGZ", "KHM", "KIR", "KOR", "KWT", "LAO", "LBN", "LBR",
"LBY", "LCA", "LKA", "LSO", "LTU", "LUX", "LVA", "MAR", "MDA",
"MDG", "MEX", "MKD", "MLI", "MMR", "MNE", "MNG", "MOZ", "MRT",
"MWI", "MYS", "NAM", "NCL", "NER", "NGA", "NIC", "NLD", "NOR",
"NPL", "NZL", "OMN", "PAK", "PAN", "PER", "PHL", "PNG", "POL",
"PRI", "PRK", "PRT", "PRY", "QAT", "ROU", "RUS", "RWA", "SAU",
"SDN", "SEN", "SJM", "SLB", "SLE", "SLV", "SOM", "SRB", "SUR",
"SVK", "SVN", "SWE", "SWZ", "SYR", "TCD", "TGO", "THA", "TJK",
"TKM", "TLS", "TUN", "TUR", "TWN", "TZA", "UGA", "UKR", "URY",
"USA", "UZB", "VEN", "VNM", "VUT", "YEM", "ZAF", "ZMB", "ZWE"
), class = "factor"), lon = c(-69L, -68L, -72L, -71L, -70L),
lat = c(-55L, -55L, -54L, -54L, -54L), day_1 = c(NA, NA,
0, 0, 0), day_2 = c(NA, NA, 0, 0, 0), day_3 = c(NA, NA, 0,
23.37984, 0), day_4 = c(NA, NA, 0, 0, 0), day_5 = c(NA, NA,
0, 0, 0), day_6 = c(NA, NA, 0, 0, 0), day_7 = c(NA, NA, 2.83824,
11.80116, 1.24956), day_8 = c(NA, NA, 0, 1.68588, 14.69448
), day_9 = c(NA, NA, 0, 0, 1.09296), day_10 = c(NA, NA, 0,
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NA, 0.54, 0, 0), day_13 = c(NA, NA, 0, 0, 0), day_14 = c(NA,
NA, 0, 0, 0.39204), day_15 = c(NA, NA, 0, 0, 11.58732), day_16 = c(NA,
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