Below is dataset:
> head(u1spdf)
coordinates A Latitude Longitude Altitude Date.No..Of.days DateTime geodist tdiff
1 (116.3184, 39.9847) 1 39.98470 116.3184 492 39744.12 2008-10-23 02:53:04 0.00000 0
2 (116.3184, 39.98468) 2 39.98468 116.3184 492 39744.12 2008-10-23 02:53:10 3.52000 6
3 (116.3184, 39.98469) 3 39.98469 116.3184 492 39744.12 2008-10-23 02:53:15 2.83000 5
4 (116.3184, 39.98469) 4 39.98469 116.3184 492 39744.12 2008-10-23 02:53:20 2.74000 5
5 (116.3183, 39.98465) 5 39.98465 116.3183 492 39744.12 2008-10-23 02:53:25 11.03000 5
6 (116.318, 39.98461) 6 39.98461 116.3180 493 39744.12 2008-10-23 02:53:30 20.81404 5
I need entries of which giodist
is greater than 200m and tdiff
is greater than 1200 sec
geodist
is dist between 2 points and and tdiff
is time diff between 2 points
I have executed below algorithm for this:
i <- 0
pointNum <- nrow(u1spdf) #the number of GPS points
while (i < pointNum) {
j <- i+1; Token <- 0;
while (j < pointNum) {
cdist <- u1spdf$geodist[i+1] #calculated the distance between points
#message("cdist: ",cdist)
if (cdist > 200 | cdist ==0) {
ctime <- u1spdf$tdiff[i+1] #calculated the time span between two points
#message("ctime: ",ctime)
if (ctime > 1200 | ctime ==0 ) {
print(u1spdf[i+1, ])
i <- j
Token <- 1
}
}
break
j <- j+1
}
if (Token!=1) {
i <- i+1
}
This algorithm have given below output:
coordinates A Latitude Longitude Altitude Date.No..Of.days DateTime geodist tdiff
149 (116.2868, 39.99578) 149 39.99578 116.2868 716 39744.17 2008-10-23 04:08:07 1727.514 3772
coordinates A Latitude Longitude Altitude Date.No..Of.days DateTime geodist tdiff
471 (116.3202, 40.00478) 471 40.00478 116.3202 105 39744.4 2008-10-23 09:42:25 690.0795 18453
Need this output as 1 dataframe or its header is repeated everytime
could you please suggest how can I get above output as dataset
R is great for indexing objects with other objects...
meets_conditions = (u1spdf$geodist > 200 & u1spdf$tdiff > 1200)
your_desired_output = u1spdf[meets_conditions, ]
To provide an explanation, meets_conditions
is a binary vector of same length as the number of rows in your data frame u1spdf
. It indicates which rows satisfy the specified conditions. Subsequently, we can use it to indicate which rows we want to select from from the original data frame, to be assigned to a new data frame named your_desired_output
, or you can just use u1spdf[meets_conditions, ]
directly in other functions such as print(u1spdf[meets_conditions, ])
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