Plot specific bins in histogram in r -


i have data looks this:

  > data1415$lön_utv  [1]  2.500000  2.499134 11.979167  2.606635  2.299856  2.300086  2.399993  2.499763  2.499134  5.000000 [11]  2.499134  3.213068  3.497202  6.666667  3.467406  2.493373  3.976479  2.501996  2.499356  3.286318 [21]  2.503582  2.503582  2.499356  2.499356  2.499356  2.499356  2.459016  2.505516  2.499356  2.504103 [31]  2.503582  2.459016  2.503582  2.544523  5.660377  2.501949  2.503966  2.499332  2.358491  3.113852 [41]  2.499356  2.499332  2.499356  2.459016  2.499332  2.941176  2.499356  2.499356  2.499356  2.499356 [51]  3.400695  6.512312  2.504863  2.499356  2.499356  6.516168  2.503966  2.503582  3.400695  2.358491 [61]  3.899955  7.525569  2.503582  2.499236  2.283105  2.499332  2.941176  2.499356  2.503582  6.335204 [71]  5.216359  2.501495  5.936073  2.503966  2.358491  7.152135  6.072188  2.502615  6.063219 10.193115 [81]  2.504279  2.503582  2.501231  2.505728  2.500144  3.658113  2.502452  2.941176  5.000000  2.500818 [91]  2.499236  8.054799  2.500144  1.672703  2.941176  2.162162  6.072188  2.941176  3.251276  2.941176 [101]  2.501231  2.500818  7.397407  2.162162  4.860217  2.941176  2.162162  2.162162  2.162162  2.501361

if cut data this:

> c2 <- cut(data1415$lön_utv, breaks = c(0:8, 20), include.lowest=true) > table(c2) c2 [0,1]  (1,2]  (2,3]  (3,4]  (4,5]  (5,6]  (6,7]  (7,8] (8,20]   0      1     79     11      1      5      7      3      3

i want create histogram bins 0-1, 1-2, 2-3 , forth. problem want x-axis no wider 8. exclude values above 8 rightmost bin include values above 8. i´ve tried like

hist(data1415$lön_utv, breaks = c(0:8, 20), right=false)

but can´t figure out how make x-axis no longer 8 , still "top" bin values above.

as said in comments, need barplot using bins. assuming our numerical variable in 'value', can calculate bins:

dat$bin <- cut(dat$value, breaks=c(0:8,20))

then using ggplot, can plot counts:

ggplot(dat, aes(x=bin)) + geom_bar()

to percentages, can have ggplot calculate us. need add percentage scale it. , avoid confusion, have axis go 0 100%.

ggplot(dat, aes(x=bin)) +    geom_bar(aes(y=..count../sum(..count..))) +    scale_y_continuous(limits=c(0,1),labels=scales::percent)

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