Calculating differences
Hi:
Here's one way with the plyr package. Using ds as the name of your
data frame (thank you for the dput and clear description of what you
wanted, BTW),
library('plyr')
ddply(ds, .(date), mutate, minspd = min(speed), Cmin =
C[which.min(speed)], diff = C - Cmin)
speed C house date hour id minspd Cmin diff
1 3 0.697 1 719 18 1000 3 0.697 0.000
2 9 0.011 1 1027 8 10000 4 0.015 -0.004
3 4 0.015 1 1027 8 10001 4 0.015 0.000
4 8 0.012 1 1027 8 10002 4 0.015 -0.003
5 7 0.018 1 1030 11 10003 6 0.019 -0.001
6 6 0.019 1 1030 11 10004 6 0.019 0.000
HTH,
Dennis
On Thu, Oct 20, 2011 at 2:56 PM, Jeffrey Joh <johjeffrey at hotmail.com> wrote:
I have a table that looks like this:
structure(list(speed = c(3,9,4,8,7,6), C = c(0.697, 0.011, 0.015, 0.012, 0.018, 0.019), house = c(1,
1, 1, 1, 1, 1), date = c(719, 1027, 1027, 1027, 1030, 1030),
? ?hour = c(18, 8, 8, 8, 11, 11), id = c("1000", "10000",
? ?"10001", "10002", "10003", "10004")), .Names = c("speed",
"C", "house", "date", "hour", "id"), class = "data.frame", row.names = c("1000",
"10000", "10001", "10002", "10003", "10004"))
I want to determine the minimum speed for each date, and the C that corresponds to that lowest speed.Then I want to make a table that contains all speeds and the difference between C and the lowest C.
For example, on the date 1027, the minimum speed is 4 and the C that corresponds to that is 0.015. ?The new table should contain:
speed 8 and C -0.003
speed 9 and C -0.004
speed 7 and C -0.001How do you do this?
Thanks,
Jeffrey
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