search for: 3l

...mmary(B20_A) No Yes NA's 0 149 580 to my surprise, 'No' is also set as NA, why is this happening? I am a frequent SPSS user and I am surprised that this operation does not seem to be so straight forward in R. Thanks my object is defined below. structure(c(4L, 1L, 4L, 4L, 1L, 3L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 4L, 1L, 4L, 4L, 3L, 1L, 3L, 4L, 3L, 4L, 3L, 3L, 1L, 1L, 3L, 1L, 3L, 4L, 4L, 3L, 1L, 1L, 4L, 4L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 1L, 4L, 4L, 3L, 1L, 1L, 4L, 4L, 3L, 1L, 1L, 3L, 1L, 4L, 3L, 3L, 3L, 1L, 4L, 3L, 3L, 4L, 4...

...don't know the lattice package well enough to figure out the former or the latter. I spent today trying but with no success. Thanks. #DATA STRUCTURE CODE #================================================================================ pdata<-structure(list(Var.1 = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L...

...============== sequence.data.train<- structure(list(Class = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("-", "+"), class = "factor"), V1 = structure(c(2L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 2L, 4L, 2L, 1L, 2L, 4L, 3L, 4L, 4L, 4L, 3L, 3L), .Label = c("a", "c", "g", "t"), class = "factor"), V2 = structure(c(4L, 3L, 1L, 2L, 4L, 1L, 4L, 3L, 1L, 3L, 4L, 4L, 2L, 4L, 2L, 2L, 4L, 3L, 3L, 1L), .Label = c("a", "c", "g", "t"), class...

I have the following: Time A1 A1 B1 B1 C1 C2 x y x y x y 0 5 6 6 7 7 9 1 3 4 4 3 9 9 2 5 2 6 4 7 4 I want to change it to the following: 0 1 2 x y x y x y A1 5 6 3 4 5 2 B1

...2007, 2007.33333333333, 2007.66666666667, 2008, 2008.33333333333, 2008.66666666667 ), class = "yearmon"), date = structure(c(12L, 27L, 15L, 26L, 22L, 14L, 28L, 19L, 10L, 18L, 8L, 16L, 24L, 12L, 27L, 15L, 26L, 22L, 14L, 28L, 19L, 10L, 18L, 8L, 16L, 24L, 17L, 27L, 15L, 23L, 22L, 14L, 28L, 19L, 10L, 18L, 9L, 16L, 24L, 12L, 27L, 15L, 26L, 22L, 14L, 28L, 19L, 10L, 18L, 8L, 16L, 24L, 17L, 27L, 15L, 26L, 22L, 14L, 28L, 19L, 10L, 18L, 8L, 16L, 24L, 12L, 27L, 15L, 26L, 22L, 14L, 28L, 19L, 10L, 18L, 8L, 16L, 24L, 12L, 27L, 15L, 26L, 22L, 14L, 28L, 19L, 10L,...

...4446, 8.55132985773453, 10.1678182524815, 10.6145417864386, 10.4169948161073, 10.0253039670548, 10.2568017077865, 10.5045847076951, 9.75993936712448, 8.99997092895909, 10.6742222414794, 10.8640943324257, 10.4295384371541, 10.1987862649656, 10.6744617172313), rs11834524 = structure(c(1L, 2L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 3L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 3L...

...ggling with a problem where I need to order based on 1) the Frequency "Freq" and 2) keeping each group of 3 of the same type together "Var2" but I want across all groups it to go "high to low" based on the earn factor. Thank you! structure(list(Var1 = structure(c(1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 3L, 3L, 1L, 2L, 3L, 1L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 1L, 2L, 3L, 1L, 2L, 1L, 3L, 2L, 3L, 1L, 2L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 3L...

R Experts, I have a dataframe made up of character vectors--these are results from survey questions. I need to convert them to factors. I tried the following which did not work: scs2<-sapply(scs2,as.factor) also this didn't work: scs2<-sapply(scs2,function(x) as.factor(x)) After doing either of above I end up with >str(scs2) chr [1:10, 1:10] "very important" "very

...;) dataset <- data.frame(x) library(mice) md.pattern(x) md.pairs(x) imp <- mice(dataset,method="polyreg",maxit=5) mice.impute.polyreg(dataset, nnet.maxit = 100,nnet.trace = FALSE, nnet.maxNWts = 1500) traceback() MI TABLA structure(list(ï..psraid = c(202517L, 202518L, 202520L, 202523L, 202527L, 202537L, 202543L, 202544L, 202551L, 202566L, 202570L, 202571L, 202606L, 202619L, 202624L, 202629L, 202631L, 202632L, 202633L, 202648L, 202657L, 202663L, 202676L, 202683L, 202685L, 202706L, 202708L, 202709L, 202710L, 202734L, 202735L, 202736L, 202737L, 202746L, 202753L, 202764L, 202769L, 2...

...L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L...

...rame in sequence, but I would like to know if there is a way to execute this in a single step; so simply go from df0 to df1 while executing all the transformations. See example below. Guidance would be appreciated. --John J. Sparks, Ph.D. library(dplyr) df0<-structure(list(SeqNum = c(1L, 2L, 3L, 4L, 5L, 6L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 18L, 19L, 21L, 22L, 23L), MOSTYP = c(37L, 41L, 41L, 13L, 3L, 27L, 37L, 37L, 15L, 14L, 13L, 37L, 4L, 27L, 37L, 26L, 17L, 37L, 37L, 17L), MGEMOM = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L), MGODRK = c(...

...6, 4, 2, 6, 4, 3, 4, 4, 3, 5, 1, 5, 1, 5, 6, 6, 6, 1, 1, 1, 1, 5, 1, 3, 4, 5, 4, 3, 5, 1, 5, 4, 5, 6, 3, 4, 3, 6, 3, 1, 2, 1, 3, 2, 1, 3, 4, 5, 4, 6, 6, 6, 5, 2, 1, 4, 5, 5, 4, 1, 1, 1, 3, 2, 2, 6, 2, 3, 3, 4, 1, 3, 2, 1, 3, 6, 5, 2, 6, 4, 2, 2, 1, 1, 5, 2, 6, 6, 3, 1, 4, 3), type = structure(c(2L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 1L, 2L, 1L, 2L, 3L, 1L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 3L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 3L...

...ng to plot a smooth line for each sample. I am able to accomplish that but the problem is that the legend only displays every other sample. How can I force the legend to show all of my Muestreos? Thanks in advance. fish_ByMuestreo <- structure(list(data = structure(list(SampleDate = structure(c(3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 16L, 16L, 16L, 7L, 7L, 7L, 7L, 10L, 10L, 10L, 13L, 13L, 13L, 13L, 13L, 27L, 27L, 27L, 27L, 27L, 17L, 17L, 17L, 17L, 20L, 20L, 20L, 20L, 24L, 24L, 24L, 24L, 24L, 30L, 30L, 30L, 30L, 42L, 42L, 42L, 42L, 42L, 33L, 33L, 33L, 33L, 36L, 36L, 36L, 36L, 36L, 39L, 39L, 39L,...

...de 50 datos se ejecuta, en la muestra original de 1000 registros me tira error :( 2013/10/30 daniel <daniel319@gmail.com> > Amalia, > > No obtengo tus resultados. Corrí tus formulas y datos y el resultado es > x <- structure(list(ï..psraid = c(202517L, 202518L, 202520L, 202523L, > + 202527L, 202537L, 202543L, 202544L, 202551L, 202566L, 202570L, > + 202571L, 202606L, 202619L, 202624L, 202629L, 202631L, 202632L, > + 202633L, 202648L, 202657L, 202663L, 202676L, 202683L, 202685L, > + 202706L, 202708L, 202709L, 202710L, 202734L, 202735L, 202736L, > + 202737L, 20...

Dear all I would like to superpose some smoothing line through boxplot in ggplot > dput(ad) structure(list(konc.f = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L...

Amalia, No obtengo tus resultados. Corrí tus formulas y datos y el resultado es x <- structure(list(ï..psraid = c(202517L, 202518L, 202520L, 202523L, + 202527L, 202537L, 202543L, 202544L, 202551L, 202566L, 202570L, + 202571L, 202606L, 202619L, 202624L, 202629L, 202631L, 202632L, + 202633L, 202648L, 202657L, 202663L, 202676L, 202683L, 202685L, + 202706L, 202708L, 202709L, 202710L, 202734L, 202735L, 202736L, + 202737L, 202746L, 202753L, 202764L,...

...2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("1", "2"), class = "factor"), Participant = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,...

...1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4...

Hello all, I am loading a data frame, fitting a model, getting diagnostic plots and they are flagging a couple of observations as problematic. Fair enough, and I want re-fit without them. After I delete an offending row (identified by one of the diagnostic plots), something like data = data[-3,]; then R will no longer print the contents of the data frame; it tells me it is a data frame

...============== year <- structure(list(monthnum = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L...