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write a preprocessing script using the shell r python or any tools to create a file that can be used with big memory ie
when creating the two data frames in the function we extract a subset of values from each record create a matrix and
instead of changing the color uniformly across observations we can change it based on the time difference between
we have colored the points in each path using a different but related sequence of colors in color ramp we compute a
the branching process was summarized by two statistics the number of generations and the number of offspring see
rather than using the global variable counter in rs global environment use a closure in other words lexical scoping to
instead of using download file and copying the data to a local file we can use get form in the r curl package to
consider other probability functions to describe the lifetime of a process revise family tree see section 78 and gen
we have used the colors red and dark green to indicate the lines for the average ratio and the two extremes
can we search over the different values of k more intelligently for example can we find just the set of unique values
download historical stock price information for many different stocks then explore the pairs trading strategy for each
in one implementation of our code we used x matrix na n 2 rather than x matrix0 n 2 why is the second slightly more
in addition to the total profit for a simulation we would like to examine the number of trading positions and the
our pairs trading approach uses the mean and standard deviation from the training data for the thres holds for the
how do the dimensions of the grid affect velocity what if the 2 dimensions are quite different what if one is a
use rs byte-compiler function cmp fun to compile our different implementations of the functions move cars get car
for grid configurations that end in deadlock how many iterations does it take to reach complete deadlock how does this
figure 74 is a custom visualization of the birth and completion times for a tree design an alternative custom
update the gen kids v function developed in section 75 to return one data frame rather than a list of data frames this
use rprof to profile the gen kids u function in the previous exercise as in section 74 profile the code by calling
write an alternative function to gen kids see section 73 called gen kids b where the b stands for batch in this
we mentioned that the choice of red and blue as colors may not be a good one as some people have a rare form of color
now that we have the tools for performing experiments we can explore different behaviors of different configurations
write code to find contiguous regions in a grid that have very low mobility ie traffic jams can we characterize the
we might want to look at the time-series of the movement of individual cars across iterations we could use this to see