search for: axis1

I have a bivariate plot of axis2 against axis1 (data below). I would like to use different size, type and color for points in the plot for the point coming from different region. For some reasons, I cannot get it done. Below is my code. col <- rep(c("blue", "red", "darkgreen"), c(16, 16, 16)) ## Choose differen...

...lcl=exp(lcl); * ucl=exp(ucl); * pred=exp(pred); if bloom=. then bloom=1; if bloom=0 then chla1=chla; else chla1=.; if bloom=1 then chla2=chla; else chla2=.; run; symbol1 i=none value=plus color=red; symbol2 i=none value=plus color=green; symbol3 i=join value=none line=1 color=black; axis1 logbase=10; axis1; proc gplot data=chla_sep; plot chla2*date=1 chla1*date=2 (ucl pred lcl)*date=3 /overlay vaxis=axis1; by station; run; quit; proc glm data=chla_sep; class station year month; model salinity temperature Transparency__m_ Nitrate__mmol_l_1_ Phosphate__mmol_l_1_ Silicate__...

Hello Followed the doc's to setup a postscriptprinter but get the following message when starting wine: err:psdrv:PSDRV_FindPrinterInfo Error 2 getting PPD file name for printer 'Epson_360_dpi_' fixme:winspool:AddPrinterW DocumentProperties fails err:psdrv:PSDRV_FindPrinterInfo Error 2 getting PPD file name for printer 'Epson_360_dpi_' err:winspool:AddPrinterW

Hello; I want to create a 2 D plan with (123 values) for axis1 and 7 values for axis 2. I then want to make a projection of points with their coordonates in that plan! is that possible and how to proceed? Thanks [[alternative HTML version deleted]]

...our axes that are the optimal solution. I want to calculate the euclidean distance between time steps of the ordination. My thought is to use a for loop- calculate distance march to april then calculate the distance from april to may ... Is this the proper way of going about this axis1 axis2 axis3 axis4 march 3 4 6 3 april 5 7 8 5 may 7 3 1 9 ..... thanks Stephen The data is at home and I will post it once I have fooled around with the for loop...

...=lo+(1:npt)`*inc; group=j(npt,1,m); slag=1//survival[1:n-1]; h=1-survival/slag; x = (j(npt,1,1)*t` - s*j(1,n,1))/w; k=.75*(1-x#x)#(abs(x)<=1); lambda=k*h/w; append; end; quit; %if &nset = yes %then %let c==group; %else %let c=; proc gplot data=_plt_; plot lambda*s &c / vaxis=axis1 vzero haxis=axis2; axis1 label=(angle=90 f=titalic 'Hazard Function' ) minor=none ; axis2 label=(f=titalic "Time (bandwidth=&width)") minor=none; symbol1 i=join color=black line=1; symbol2 i=join color=red line=2; symbol3 i=join color=green line=3; symbol4 i=join color=b...

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",