search for: xytabl

Hi all, Posted this many years ago (https://stat.ethz.ch/pipermail/r-devel/2017-December/075224.html), but either this slipped under the radar or my feeble mind is unable to understand what xyTable() is doing here and nobody bothered to correct me. I now stumbled again across this issue. x <- c(1, 1, 2, 2, 2, 3) y <- c(1, 2, 1, 3, NA, 3) table(x, y, useNA="always") xyTable(x, y) Why does xyTable() report that there are NA instances of (2,3)? I could understand the logic th...

x <- c(1, 1, 2, 2, 2, 3) y <- c(1, 2, 1, 3, NA, 3) > str(xyTable(x,y)) List of 3 $ x : num [1:6] 1 1 2 2 NA 3 $ y : num [1:6] 1 2 1 3 NA 3 $ number: int [1:6] 1 1 1 NA NA 1 How many (2,3)s do we have? At least one, the third entry, but the fourth entry, (2,NA), is possibly a (2,3) so we don't know and make the count NA. I suspect this is not t...

...4/2023 ? 10:24, Viechtbauer, Wolfgang (NP) a ?crit?: >> Hi all, >> >> Posted this many years ago >> (https://stat.ethz.ch/pipermail/r-devel/2017-December/075224.html), >> but either this slipped under the radar or my feeble mind is unable >> to understand what xyTable() is doing here and nobody bothered to >> correct me. I now stumbled again across this issue. >> >> x <- c(1, 1, 2, 2,? 2, 3) >> y <- c(1, 2, 1, 3, NA, 3) >> table(x, y, useNA="always") >> xyTable(x, y) >> >> Why does xyTable() repor...

Le 25/04/2023 ? 10:24, Viechtbauer, Wolfgang (NP) a ?crit?: > Hi all, > > Posted this many years ago (https://stat.ethz.ch/pipermail/r-devel/2017-December/075224.html), but either this slipped under the radar or my feeble mind is unable to understand what xyTable() is doing here and nobody bothered to correct me. I now stumbled again across this issue. > > x <- c(1, 1, 2, 2, 2, 3) > y <- c(1, 2, 1, 3, NA, 3) > table(x, y, useNA="always") > xyTable(x, y) > > Why does xyTable() report that there are NA instances of (2,3)...

Hi All, It seems to me that xyTable() gets thrown off by NAs: x <- c(1, 1, 2, 2, 2, 3) y <- c(1, 2, 1, 3, NA, 3) table(x, y, useNA="always") xyTable(x, y) Is this intended behavior? Best, Wolfgang

...fails: ### sample: start ### set.seed(20) a <- c(letters[1:4]) z <- c(letters[23:26]) fa <- factor(sample(rep.int(a, 1000), 100, replace=T), levels=a, ordered=T) fz <- factor(sample(rep.int(z, 1000), 100, replace=T), levels=z, ordered=T) sunflowerplot(fa, fz) # okay, but: r <- xyTable(fa, fz) length(r$x)==length(r$y) length(r$x)==length(r$number) # TRUE, TRUE is.na(fa) <- sort(sample(1:100, 3)) sunflowerplot(fa, fz) # Error in rep.int(i.multi, number[number > 1]) : invalid 'times' value s <- xyTable(fa, fz) length(s$x)==length(s$y) length(s$x)==length(s$number)...

...in.metafile() and bmp() now warn (once at first use) if semi-transparent colours are used (rather than silently treating them as fully transparent). o New function xspline() to provide base graphics support of X-splines (cf grid.xspline). o New function xyTable() does the 2D gridding "computations" used by sunflowerplot(). o Rd conversion to HTML and CHM now makes use of classes, which are set in the stylesheets. Editing R.css will change the styles used for \env, \option, \pkg etc. (CHM styles are set a...

...in.metafile() and bmp() now warn (once at first use) if semi-transparent colours are used (rather than silently treating them as fully transparent). o New function xspline() to provide base graphics support of X-splines (cf grid.xspline). o New function xyTable() does the 2D gridding "computations" used by sunflowerplot(). o Rd conversion to HTML and CHM now makes use of classes, which are set in the stylesheets. Editing R.css will change the styles used for \env, \option, \pkg etc. (CHM styles are set a...