But still wrong... needs to be calculated in two steps because the cars are
seen in multiple frames.
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: ##.#. ##.#. Live G
FYI, increased it to 3M rows of data and it took 0.3 seconds to summarize it:
> system.time({
+ # summarize the slot & Class
+ result <- DF[
+ , list(Total = .N # count of entries
+ , mVel = mean(velocity) # average velocity
+ )
+ , keyby = 'slot,Class'
+ ]
+ })
us
Here is another way of doing it using the data.table package. Tried
using new new 'dplyr' package, but it had problems.
> # create some test data
> N <- 3 # rows of data
> set.seed(1)
> DF <- data.frame(vehicle = sample(1:5, N, TRUE)
+ , frame = sample(22:9322, N, TRUE)
+
Sorry, messed up the second ddply example:
dta3 <- ddply( dta2, c("slot","classf"), function(DF){data.frame(
Total=nrow(DF),
MeanVelocity= mean( DF$TimeMeanVelocity ) ) } )
---
Jeff NewmillerThe .
While you seem to be making some progress in communicating your problem, the
format is still HTML (so it is a mess) and the subject and approach of the
question are still a poor fit for this list. We are not here to DO your work
for you, yet you seem to have an overly long list of "needs" that s
Just curious -- why do you continue to post in HTML when you have been
asked not to?
Cheers,
Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
H. Gilbert Welch
On Sat, Jan 25, 20
Hello everyone,Here is the version using dput. I am sorry for the junk I posted
before. I have a large vehicle trajectory data of which following is a small
part:
structure(list(vehicle = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,2L, 2L), frame =
c(221L, 222L, 223L, 224L, 115L, 116L, 117L, 118L, 11
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