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  • fiche de synthèse - matière potentielle : plan description
ARBenefits reserves the right to alter, amend, change or supplement medical policies as needed. Codes are listed as a convenience and any absent, new or changed codes do not alter the intent of the policy. Page 1 of 6 Health Plan Coverage Policy ARBenefits Approval: 1/1/12 Title: Endothelial Keratoplasty Effective Date: 1/1/12 Document: ARB0146 Revision Date: Code(s): 65756 Keratoplasty (corneal transplant); endothelial 65757 Backbench preparation of corneal endothelial allograft prior to transplantation (List separately in addition to code for primary procedure) Public Statement: Endothelial keratoplasty (EK), also referred to as
  • procedure with a trend toward intervention at an earlier stage of endothelial disease
  • corneal scars from trauma
  • endothelial keratoplasty
  • clinical outcomes
  • donor detachments
  • term graft survival
  • intact globe without a sutured donor cornea
  • ek
  • visual acuity
Publié le : lundi 26 mars 2012
Lecture(s) : 53
Source : stat405.had.co.nz
Nombre de pages : 44
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Stat405
Polishing graphics for presentation
Hadley Wickham
Thursday, October 20, 11Next week
• Hadley is travelling to Australia/New
Zealand for the next two weeks.
• Next week: online video lectures. Don’t
come to class. Do work on them
collaboratively
• Week after: Garrett will teach both classes.
• Contact me/Garrett/Ollie if you get stuck
Thursday, October 20, 111. Advanced layering
2. Communication graphics
3. Scales
4. Coordinate systems
5. Themes
Thursday, October 20, 11Advanced
layering
Thursday, October 20, 11Layering
Key to rich graphics is taking advantage
of layering.
Three types of layers: context, raw data,
and summarised data
Each can come from a different dataset.
Thursday, October 20, 11Iteration
• First plot is never the best. Have to
keep iterating to understand what’s
going on.
• Don’t try and do too much in one plot.
• Best data analyses tell a story, with a
natural flow from beginning to end.
Thursday, October 20, 11qplot(x, y, data = diamonds)
diamonds$x[diamonds$x == 0] <- NA
diamonds$y[diamonds$y == 0] <- NA
diamonds$y[diamonds$y > 20] <- NA
diamonds <- mutate(diamonds,
area = x * y,
lratio = log10(x / y))
qplot(area, lratio, data = diamonds)
diamonds$lratio[abs(diamonds$lratio) > 0.02] <- NA
Thursday, October 20, 11ggplot(diamonds, aes(area, lratio)) +
geom_point()
ggplot(diamonds, aes(area, lratio)) +
geom_hline(yintercept = 0, size = 2, colour = "white") +
geom_point() +
geom_smooth(method = lm, se = F, size = 2)
ggplot(diamonds, aes(pr, abs(lratio))) +
geom_hline(yintercept = 0, size = 2, colour = "white") +
geom_point() +
geom_smooth(se = F, size = 2)
Thursday, October 20, 11ggplot(diamonds, aes(area, abs(lratio))) +
geom_hline(yintercept = 0, size = 2, colour = "white") +
geom_boxplot(aes(group = round_any(area, 5))) +
geom_smooth(se = F, size = 2)
ggplot(diamonds, aes(area, abs(lratio))) +
geom_hline(yintercept = 0, size = 2, colour = "white") +
geom_boxplot(aes(group = round_any(area, 5)))
ggplot(diamonds, aes(area, lratio)) +
geom_hline(yintercept = 0, size = 2, colour = "white") +
geom_boxplot(aes(group = interaction(sign(lratio),
round_any(area, 5))), position = "identity")
Thursday, October 20, 11Communication
Thursday, October 20, 11

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