search for: lleft

...ile - * contains information about the current file being read. - */ - -MKINIT -struct parsefile { - struct parsefile *prev; /* preceding file on stack */ - int linno; /* current line */ - int fd; /* file descriptor (or -1 if string) */ - int nleft; /* number of chars left in this line */ - int lleft; /* number of chars left in this buffer */ - char *nextc; /* next char in buffer */ - char *buf; /* input buffer */ - struct strpush *strpush; /* for pushing strings at this level */ - struct strpush basestrpush; /* so pushing one is fast */ -}; - - -int plinno = 1; /* input line number */ -in...

...ile - * contains information about the current file being read. - */ - -MKINIT -struct parsefile { - struct parsefile *prev; /* preceding file on stack */ - int linno; /* current line */ - int fd; /* file descriptor (or -1 if string) */ - int nleft; /* number of chars left in this line */ - int lleft; /* number of chars left in this buffer */ - char *nextc; /* next char in buffer */ - char *buf; /* input buffer */ - struct strpush *strpush; /* for pushing strings at this level */ - struct strpush basestrpush; /* so pushing one is fast */ -}; - - -int plinno = 1; /* input line number */ -in...

Dear R users graphing with plot(x) seams to work for a small length(x), when length(x) is too large it seams to clutter the display, a solution would be to display subsets of x at a time, yet a better way which I hope R supports is to place a sliding bar on the display window to control length(x) and thus the resolution, which will involve auto scaling the y axis as well as automatically

...plot) #just the turning points L <- length(I0); #points to plot tt <- tktoplevel() left <- tclVar(1) oldleft <- tclVar(1) right <- tclVar(L) cury <- tclVar(' ') curx <- NA tmpusr <- numeric(4) tmpplt <- numeric(4) f1 <- function(){ lleft <- as.numeric(tclvalue(left)) rright <- as.numeric(tclvalue(right)) x <- seq(lleft,rright,by=1) par(bg='black', fg='green', col='white', col.axis='white', col.lab='magenta', col.main='blue', col.sub='cyan') plot(x,I0[x],...

...****** library(tkrplot) L <- length(myData); tt <- tktoplevel()#cursor='crosshair') left <- tclVar(1) oldleft <- tclVar(1) right <- tclVar(L) cury <- tclVar(' ') curx <- NA tmpusr <- numeric(4) tmpplt <- numeric(4) f1 <- function(){ lleft <- as.numeric(tclvalue(left)) rright <- as.numeric(tclvalue(right)) x <- seq(lleft,rright,by=1) par(bg='black', fg='green', col='white', col.axis='white', col.lab='magenta', col.main='blue', col.sub='cyan') plot(x,m...

Hi, I have a large plot that I would like to display in a graphics device with scroll bars. I therefore decided to use the windows function like so... mag<- length(tick) windows(height=mag/8, width=10, rescale="fixed") However, when I use the scroll bars the device (i guess) is re-drawing the plot. Is there any way in which I can get it to 'smooth scroll'? Kind regards,

Hello everybody, I am wondering if it is possible to create a gui to plot a time series that is very big, it's an EEG signal of 20mins. What I would like to do is plot the first 5mins, then have a button on the gui that plots the next 5mins when pushed. Is it possible? Thanks in advance ! Gael.