Displaying 3 results from an estimated 3 matches for "3177l".
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3177
2012 May 29
1
Extract time from irregular date and time data records
...c(22610L,
22610L, 22610L, 22610L, 22610L, 22611L, 22611L, 22611L, 22611L,
22611L, 22611L), Minutes.Seconds = c(4608L, 4611L, 4614L, 4638L,
4641L, 141L, 144L, 208L, 211L, 214L, 238L)), .Names = c("Temperature",
"JulianDay.Hour", "Minutes.Seconds"), row.names = c(3176L, 3177L,
3178L, 3179L, 3180L, 3079L, 3080L, 3054L, 3055L, 3056L, 3057L
), class = "data.frame")
## Extraction method for times
df$Time.Incorrect <- paste(substr(df$JulianDay.Hour, 4,5),":",
substr(df$Minutes.Seconds,1,2),":",
substr(df$Min...
2010 Jul 17
5
Help with a problem
Hello R users,
I am a researcher at the University of Michigan looking for a solution to an R problem. I have loaded my data in from a mysql database and it looks like this
> data
ds c1 c2
1 2010-04-03 100 0
2 2010-04-30 11141 15
3 2010-05-01 3 16
4 2010-05-02 7615 14
5 2010-05-03 6910 17
6 2010-05-04
2012 Jul 10
2
estimation of NA by predict command
...1L, 1713L, 1845L, 1977L, 2109L,
2241L, 2373L, 2505L, 2637L, 2769L, 2901L, 3033L, 3165L, 3297L,
3429L, 3561L, 3693L, 3816L, 3937L, 4014L, 9L, 141L, 273L, 405L,
537L, 669L, 801L, 933L, 1065L, 1197L, 1329L, 1461L, 1593L, 1725L,
1857L, 1989L, 2121L, 2253L, 2385L, 2517L, 2649L, 2781L, 2913L,
3045L, 3177L, 3309L, 3441L, 3573L, 3705L, 3828L, 3949L, 20L,
152L, 284L, 416L, 548L, 680L, 812L, 944L, 1076L, 1208L, 1340L,
1472L, 1604L, 1736L, 1868L, 2000L, 2132L, 2264L, 2396L, 2528L,
2660L, 2792L, 2924L, 3056L, 3188L, 3320L, 3452L, 3584L, 31L,
163L, 295L, 427L, 559L, 691L, 823L, 955L, 1087L, 1219L, 1351...