ACTL1101 Lecture Notes - Lecture 7: Gzip

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22 Oct 2018
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# import dataset hist(claim_motorctp, main = "distribution of gross loss of each motor claim", # set title xlab = "grosslossmotor", # set x axes col = "black" # set colour) # plot the distribution of grosslossmotor using a histogram. # if there is a ctp claim, create a variable as 1; if no, then 0 group_by(accidentday) %>% # group by accidentday summarise(noctpclaim = sum(ctpclaim)) %>% # count the numbers of claims on each day as. data. frame() attach(ctpclaim) Content type "application/x-gzip" length 5686536 bytes (5. 4 mb) The following objects are masked from (cid:528)package:stats(cid:529): filter, lag. The following objects are masked from (cid:528)package:base(cid:529): intersect, setdiff, setequal, union. + main = "distribution of gross loss of each motor claim", > # plot the distribution of grosslossmotor using a histogram. > ctpclaim % mutate(ctpclaim = ifelse(grosslossctp. + # if there is a ctp claim, create a variable as 1; if no, then 0. + # count the numbers of claims on each day.

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