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...b(x <= .(round(criticalValue,2)))) al2 <- bquote(phantom(0) == F( .(round(criticalValue,2)) )) al3 <- bquote(phantom(0) == .(round(shadedArea,3))) ### Hard to position this text "just right" ### Have tried many ideas, this may be least bad. ### Get center position in shaded area medX <- median(specialX) ### density at that center point: denAtMedX <- myDensity[indexMed <- max(which(specialX < medX))] text(medX, denAtMedX+0.0055, labels=al1) text(medX, denAtMedX+0.004, labels=al2) text(medX, denAtMedX+0.0025, labels=al3) ### point from text toward shaded area arrows...

I want to shade the area under the curve of the standard normal density. Specifically color to the left of -2 and on. How might i go about doing this? Thanks -- View this message in context: http://n4.nabble.com/Shade-area-under-curve-tp1586439p1586439.html Sent from the R help mailing list archive at Nabble.com.

Dear R-users, I have two outliers related questions. I. I have a vector consisting of 69 values. mean = 0.00086 SD = 0.02152 The shape of EDA graphics (boxplots, density plots) is heavily distorted due to outliers. How to define the interval for outliers exception? Is <2SD - mean + 2SD> interval a correct approach? Or should I define 95% (or 99%) limit of agreement for data interval,

...interfaces = 127.0.0.1 1.2.3.4 netbios name = ITLMTRP01 # End of host specific entries workgroup = MEDQA preferred master = No domain master = No bind interfaces only = yes wins server = 4.5.6.7 # AD parameters realm = MEDX.HARVARD.EDU password server = * security = ADS encrypt passwords = Yes # winbind parameters winbind separator = . winbind use default domain = yes winbind cache time = 10 winbind enum users = yes winbind enum groups = yes...