[R] Finding Sum
Jeff Newmiller
jdnewmil at dcn.davis.CA.us
Sat Oct 25 06:57:16 CEST 2014
Please post in plain text to avoid corruption of your message.
Your data has duplicates in it... I don't get the numbers you provided, even if I remove the duplicates. See
table(dta$Year,dta$Month)
There are many ways to do this kind of calculation. One is to use the base R function aggregate(), as in
aggregate(dta$Rain,list(Month=dta$Month),FUN=mean)
Other solutions involve packages plyr, data.table, sqldf, or dplyr, each of which has documentation you can read and tutorials you can search for. The common principle they all share is the idea of a "grouping column" that defines whichv vector elements belong together... in this case, the Month column.
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On October 24, 2014 7:14:44 PM PDT, Hafizuddin Arshad <hafizuddinarshad21 at gmail.com> wrote:
>Hi,
>
>I really need help on this. I have this data set:
>
>structure(list(Year = c(1971L, 1971L, 1971L, 1971L, 1971L, 1971L,
>1971L, 1971L, 1971L, 1972L, 1972L, 1972L, 1972L, 1972L, 1972L,
>1973L, 1973L, 1973L, 1973L, 1973L, 1973L, 1973L, 1973L, 1973L,
>1973L, 1974L, 1974L, 1974L, 1974L, 1974L, 1974L, 1974L, 1974L,
>1974L, 1975L, 1975L, 1975L, 1975L, 1975L, 1975L, 1975L, 1976L,
>1976L, 1976L, 1976L, 1976L, 1976L, 1976L, 1976L, 1976L, 1977L,
>1977L, 1977L, 1977L, 1977L, 1977L, 1978L, 1978L, 1978L, 1978L,
>1978L, 1978L, 1978L, 1979L, 1979L, 1979L, 1979L, 1979L, 1980L,
>1980L, 1980L, 1980L, 1980L, 1980L, 1980L, 1981L, 1981L, 1981L,
>1981L, 1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1983L, 1983L,
>1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1984L, 1984L,
>1984L, 1985L, 1985L, 1985L, 1985L, 1985L, 1985L, 1987L, 1987L,
>1987L, 1987L, 1987L, 1987L, 1988L, 1988L, 1988L, 1988L, 1988L,
>1988L, 1988L, 1989L, 1989L, 1989L, 1989L, 1989L, 1989L, 1989L,
>1990L, 1990L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L,
>1991L, 1991L, 1991L, 1991L, 1992L, 1992L, 1993L, 1993L, 1993L,
>1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L,
>1994L, 1994L, 1994L, 1994L, 1995L, 1995L, 1995L, 1995L), Month = c(3L,
>6L, 10L, 10L, 11L, 11L, 11L, 11L, 12L, 2L, 9L, 12L, 12L, 12L,
>12L, 3L, 9L, 10L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 8L, 9L,
>11L, 11L, 11L, 11L, 11L, 12L, 12L, 1L, 2L, 4L, 10L, 11L, 12L,
>12L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 9L, 10L, 11L,
>12L, 12L, 12L, 6L, 6L, 9L, 11L, 11L, 12L, 12L, 10L, 11L, 11L,
>11L, 11L, 7L, 9L, 11L, 12L, 12L, 12L, 12L, 7L, 11L, 12L, 12L,
>7L, 10L, 12L, 12L, 12L, 12L, 5L, 11L, 12L, 12L, 12L, 12L, 12L,
>12L, 12L, 11L, 12L, 12L, 3L, 3L, 11L, 12L, 12L, 12L, 6L, 12L,
>12L, 12L, 12L, 12L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 9L, 9L,
>10L, 10L, 11L, 12L, 12L, 4L, 9L, 1L, 6L, 8L, 10L, 11L, 11L, 11L,
>11L, 12L, 12L, 12L, 6L, 12L, 6L, 10L, 10L, 5L, 10L, 10L, 10L,
>11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 2L, 11L, 11L, 12L
>), Rain = c(196, 88.8, 96, 70.6, 104.9, 80, 102.8, 161.5, 123.4,
>70.8, 99, 77.7, 130.8, 134.1, 86.3, 213.3, 169.9, 89.4, 78.7,
>81.5, 100.3, 107.1, 93.2, 83.8, 253.2, 75.4, 134.5, 84.5, 82.5,
>82.5, 119.5, 119.5, 134.5, 83.5, 372.5, 79.5, 112, 80.5, 129.5,
>120.5, 126, 73, 93.5, 86.5, 140.5, 76, 180.5, 75, 130.5, 130.5,
>104, 110.5, 210.5, 70.5, 120.5, 120, 81, 84, 74.5, 82, 73.5,
>177.5, 77.5, 88, 92.5, 93.5, 103, 93.5, 82, 85, 102.5, 76.5,
>180, 144.5, 117, 73, 253.5, 99, 196, 105, 88.8, 71, 82.5, 191,
>184.8, 72.5, 104.5, 107, 187, 141.5, 149.5, 115.5, 252, 199.5,
>106.5, 192, 217.5, 112, 127, 87.5, 73, 75, 102, 102, 160, 172,
>129, 150, 77, 120, 111, 190, 287.5, 120, 288, 183, 74, 77.5,
>122, 112, 100, 140, 91, 158, 105, 100, 83, 75, 260, 80, 135,
>218, 87, 85, 240, 115, 80, 76, 100.5, 82, 184, 72.5, 79, 152,
>120, 128, 120, 154, 135, 141, 156, 132, 260, 73.5, 76.5, 129,
>200, 70.5)), .Names = c("Year", "Month", "Rain"), class = "data.frame",
>row.names = c(NA,
>-158L))
>
>
>I want to find the sum of the Rain according to their Month regardless
>of
>their Years. The problem with my data is the Month is not fixed to Jan-
>Dec. For example I want to find the sum of Rain for January( if have)
>from
>1971 to 1995 regardless of their years and so on. I have tried this:
>
>## monthly_summary.2 code use monthly data with mean, var and sd
>monthly_summary.2 <- function(dt)
>{ mt1 <- matrix(dt[,3],nrow=12,ncol=82,byrow=F)
> mt <- t(mt1)
> colnames(mt) <- c("Jan","Feb","Mar","Apr","May","June","July",
> "Aug","Sept","Oct","Nov","Dec")
> mn <- colMeans(mt)
> vr <- diag(var(mt[,c(1:12)]))
> sd <- sqrt(vr)
> #rbind(mt,mn = mn,vr = vr,sd = sd)
> rbind(mn = mn,vr = vr,sd = sd)
>}
>## call function for monthly summary of data, mean, variance and std
>ddt1.1 <- monthly_summary.2(dt1); round(ddt1.2,2) # kb
>
>but R gives me this:
>
>In matrix(dt[, 3], nrow = 12, ncol = 82, byrow = F) :
>data length [290] is not a sub-multiple or multiple of the number of
>rows
>[12]
>
>Can you help me on this? The output should be something like this:
>
>structure(c(135.073170731707, 3766.29433303222, 61.3701420320356,
>115.35, 1962.35981481481, 44.2985306168818, 131.704878048781,
>3508.69256850346, 59.2342178854711, 118.080487804878, 2323.96677506775,
>48.2075385709305, 138.373170731707, 4960.1308762421, 70.4281965993883,
>115.891463414634, 2313.38375338753, 48.0976481066126, 132.14512195122,
>4258.86522282445, 65.2599817868841, 112.348780487805, 1813.78573923517,
>42.5885634793564, 130.989024390244, 4305.92740891298, 65.6195657476715,
>109.289024390244, 1722.0859274315, 41.4980231749838, 131.365853658537,
>3999.19635049684, 63.2391994770399, 109.503658536585, 1622.71838151159,
>40.2829788063345), .Dim = c(3L, 12L), .Dimnames = list(c("mn",
>"vr", "sd"), c("Jan", "Feb", "Mar", "Apr", "May", "June", "July",
>"Aug", "Sept", "Oct", "Nov", "Dec")))
>
>
>Thank you.
>
>
>Arshad
>
> [[alternative HTML version deleted]]
>
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