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)$coefficients[, 4] > > HTH, > Dennis > > On Thu, Feb 10, 2011 at 3:46 PM, Allie818 wrote: > >> >> I can get this summary of a model that I am running: >> >> summary(myprobit) >> >> Call: >> glm(formula = Response_Slot ~ trial_no, family = binomial(link = >> "probit"), >>data = neg_data, na.action = na.pass) >> >> Deviance Residuals: >>Min 1Q Median 3Q Max >> -0.9528 -0.8934 -0.8418 1.4420 1.6026 >> >> Coefficients: >> Estimate Std. Error z value Pr(>|z|) >> (Intercept) -0.340528 0.371201 -0.9170.359 >> trial_no-0.005032 0.012809 -0.3930.694 >> >> (Dispersion parameter for binomial family taken to be 1) >> >>Null deviance: 62.687 on 49 degrees of freedom >> Residual deviance: 62.530 on 48 degrees of freedom >> AIC: 66.53 >> >> Number of Fisher Scoring iterations: 4 >> >> But I would like to get the p-value [column heading Pr(>|z|)] for the >> esimate. >> I can get the coefficient estimates with myprobit$coefficients. Is there >> something similar to get the p-value? >> >> Thank you in advance. >> -- >> View this message in context: >> http://r.789695.n4.nabble.com/Getting-p-value-from-summary-output-tp3300503p3300503.html >> Sent from the R help mailing list archive at Nabble.com. >> >> __ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[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: - - - - - 0 1 0 0 1 0 0 1 1 1 1 If x = 3, it’s current value is 0 but it’s new value with the Gaussian weighting around would be something like .1*0+.5*1+1*0+0.5*0+.1*1= 0.6 I want to be able to play with adjusting the variance to different values as well. I’ve found wkde in the mixtools library and think it may be useful but I have not figured out how to use it yet. Any tips would be appreciated. Thanks! -- View this message in context: http://www.nabble.com/Weighting-data-with-normal-distribution-tp22728289p22728289.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[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 "right" function to cut out just the middle two letters out and put into another column to sort by. Thanks! -- View this message in context: http://www.nabble.com/Text-data-tp21714334p21714334.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
