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....g., adding a start of 1 to the data), the following works for me: ------ snip ------ > library(MASS) > BoxCoxLambda <- function(z){ + b <- boxcox(z + 1 ~ 1, + lambda = seq(-5, 5, length.out = 101), + plotit = FALSE) + b$x[which.max(b$y)] + } > mrow <- 500 > mcol <- 2 > set.seed(12345) > dd <- matrix(rgamma(mrow*mcol, shape = 2, scale = 5), nrow = mrow, ncol = + mcol) > dd1 <- dd[, 1] # 1st column of dd > res <- boxcox(lm(dd1 + 1 ~ 1), lambda = seq(-5, 5, length.out = 101), plotit +...

...(MASS) >> >> # Find optimised Lambda for Boc-Cox transformation >> BoxCoxLambda <- function(z){ >> b <- boxcox(lm(z+1 ~ 1), lambda = seq(-5, 5, length.out = 61), plotit >> = FALSE) >> b$x[which.max(b$y)] # best lambda >> } >> >> mrow <- 500 >> mcol <- 2 >> set.seed(12345) >> dd <- matrix(rgamma(mrow*mcol, shape = 2, scale = 5), nrow = mrow, ncol = >> mcol) >> >> # Try it not using the BoxCoxLambda function: >> dd1 <- dd[,1] # 1st column of dd >> bb <- boxcox(lm(dd1+...

...or me: > > ------ snip ------ > > > library(MASS) > > > BoxCoxLambda <- function(z){ > + b <- boxcox(z + 1 ~ 1, > + lambda = seq(-5, 5, length.out = 101), > + plotit = FALSE) > + b$x[which.max(b$y)] > + } > > > mrow <- 500 > > mcol <- 2 > > set.seed(12345) > > dd <- matrix(rgamma(mrow*mcol, shape = 2, scale = 5), nrow = mrow, ncol = > + mcol) > > > dd1 <- dd[, 1] # 1st column of dd > > res <- boxcox(lm(dd1 + 1 ~ 1), lambda = seq(-5, 5, leng...

...t;> > library(MASS) >> >> > BoxCoxLambda <- function(z){ >> + b <- boxcox(z + 1 ~ 1, >> + lambda = seq(-5, 5, length.out = 101), >> + plotit = FALSE) >> + b$x[which.max(b$y)] >> + } >> >> > mrow <- 500 >> > mcol <- 2 >> > set.seed(12345) >> > dd <- matrix(rgamma(mrow*mcol, shape = 2, scale = 5), nrow = mrow, ncol = >> + mcol) >> >> > dd1 <- dd[, 1] # 1st column of dd >> > res <- boxcox(lm(dd1 +...

...something silly, but I can't see what it is. Any help appreciated. library(MASS) # Find optimised Lambda for Boc-Cox transformation BoxCoxLambda <- function(z){ b <- boxcox(lm(z+1 ~ 1), lambda = seq(-5, 5, length.out = 61), plotit = FALSE) b$x[which.max(b$y)] # best lambda } mrow <- 500 mcol <- 2 set.seed(12345) dd <- matrix(rgamma(mrow*mcol, shape = 2, scale = 5), nrow = mrow, ncol = mcol) # Try it not using the BoxCoxLambda function: dd1 <- dd[,1] # 1st column of dd bb <- boxcox(lm(dd1+1 ~ 1), lambda = seq(-5, 5, length.out = 101), plotit = FALSE) print(pa...

...> appreciated. > > library(MASS) > > # Find optimised Lambda for Boc-Cox transformation > BoxCoxLambda <- function(z){ > b <- boxcox(lm(z+1 ~ 1), lambda = seq(-5, 5, length.out = 61), plotit > = FALSE) > b$x[which.max(b$y)] # best lambda > } > > mrow <- 500 > mcol <- 2 > set.seed(12345) > dd <- matrix(rgamma(mrow*mcol, shape = 2, scale = 5), nrow = mrow, ncol = > mcol) > > # Try it not using the BoxCoxLambda function: > dd1 <- dd[,1] # 1st column of dd > bb <- boxcox(lm(dd1+1 ~ 1), lambda = seq(-5, 5, leng...

...;,'Tom','Mary','Mary'), group = c('a','b','c','a','b','c','d','b','d'), stringsAsFactors = F) df m = table( df ) M = as.matrix( m ) # o M = as.matrix( table(df) ) Mrow = M %*% t(M) Mrow Mcol = t(M) %*% M Mcol df_yo <- data.frame( person = c('Sam','Sam','Sam','Greg','Tom','Tom','Tom','Mary','Mary'), group = c('a','b','c','a','b',...

...plots sort of like how I'd like to make a new plot. Hopefully it will get through to the list. Is there a way to do this directly using par somehow? Or one of the other plotting packages? Basically, multiple larger plot above multiple groups of smaller plots? The smaller plots are just par(mrow=c(2,3)) things, and I can certainly do 2,6 for something wider like this demo but I'm not clear how to specify an area for larger plots above. Is it possible? Thanks, Mark -------------- next part -------------- A non-text attachment was scrubbed... Name: DemoPlot.png Type: image/png Size: 538...

...xpa.c:226:5: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] exit(6); ^ himenoBMTxpa.c: In function ‘newMat’: himenoBMTxpa.c:239:5: warning: incompatible implicit declaration of built-in function ‘malloc’ [enabled by default] malloc(mnums * mrows * mcols * mdeps * sizeof(float)); ^ himenoBMTxpa.c: In function ‘clearMat’: himenoBMTxpa.c:248:5: warning: incompatible implicit declaration of built-in function ‘free’ [enabled by default] free(Mat->m); ^ '-cmpxchg16b' is not a recognized feature for this target (ignorin...

...ompatible implicit declaration of built-in function ‘exit’ [enabled by default] > exit(6); > ^ > himenoBMTxpa.c: In function ‘newMat’: > himenoBMTxpa.c:239:5: warning: incompatible implicit declaration of built-in function ‘malloc’ [enabled by default] > malloc(mnums * mrows * mcols * mdeps * sizeof(float)); > ^ > himenoBMTxpa.c: In function ‘clearMat’: > himenoBMTxpa.c:248:5: warning: incompatible implicit declaration of built-in function ‘free’ [enabled by default] > free(Mat->m); > ^ > '-cmpxchg16b' is not a recognized fe...

hi, i am using par(mrow=c(6,6)) function to get 6x6 plots on one screen. the problem that i am having is that the axis tick labels are far away from the ticks and going into previous plots (see attached figure). i need to know how can i reduce the distance between the ticks and their values (y axis values).the part of the...

...and line interpreter (but it does still show you command line completions on the bottom of the window). The only exception I've found is when there is no character string at all before the opening parenthesis. Then you can type as quickly as you want with no ill effects. -- Mickey Rowe (mrowe at lifesci.ucsb.edu)