[R] Weighting data with normal distribution

I have a vector of binary data – a string of 0’s and 1’s. I want to weight these inputs with a normal kernel centered around entry x so it is transformed into a new vector of data that takes into account the values of the entries around it (weighting them more heavily if they are near). Example:

Re: [R] Getting p-value from summary output

Awesome! Thanks so much! On Thu, Feb 10, 2011 at 6:13 PM, Dennis Murphy wrote: > Hi: > > Try > summary(myprobit)$coefficients[, 4] > > HTH, > Dennis > > On Thu, Feb 10, 2011 at 3:46 PM, Allie818 wrote: > >> >> I can get this summary of a model that I am running: >> >> summary(myprobit) >> >> Ca

[R] Text data

i have a data column of text entries: 26M_AN_C.bmp 22M_AN_C.bmp 20M_HA_O.bmp 20M_AN_C.bmp 26M_HA_O.bmp 22M_HA_O.bmp 31M_AN_C.bmp 38M_HA_O.bmp . . . . And I would like to sort by the middle tag: AN, HA, etc. Is there a way to parse text data in R? In excel, I would have used the "left" and "rig