Displaying 5 results from an estimated 5 matches similar to: "plot with two y axes"
2011 Jan 06
0
Set axis limits in mixtools plot
Hello,
Can the x and y axis limits be specified in a density plot with the
mixtools package for a finite mixture model? Uncommenting the xlim2/
ylim2 lines in the plot command below generates 'not a graphical
parameter' warnings (and does not change the axis settings), and
uncommenting the xlim/ylim lines generates a 'formal argument "ylim"
matched by multiple actual
2002 Apr 26
3
different data series on one graph
Hello,
I'm looking for a way to plot different data series on one graph.
I have a series of hourly rainfall and quarterly flow
measurements (i.e. 4 times an hour) of a catchment. The rainfall
should be plotted in bars, the flow as a line. Both on the same X
axe (time) but with different Y axes.
The problem is the plot() function does not support add=TRUE...
Furthermore I'm not sure
2011 Jun 15
2
plot with two y axes BUT unaligned x axis
Hi all,
I have scoured the archives of this forum but nothing quite seems to fit the
bill...
I would like to plot a graph displaying two variables (y axes) that share
date as the x axis. However, the date values for each variable are not the
same - for example, some parasitoids were not released on days that
collections from the trap took place, whilst sometimes releases did occur on
the same
2012 Apr 25
2
comparison of bivariate normal distributions
sorry for cross-posting
Dear all,
I have tow (several) bivariate distributions with a known mean and variance-covariance structure (hence a known density function) that I would like to compare in order to get an intersect that tells me something about "how different" these distributions are (as t-statistics for univariate distributions).
In order to visualize what I mean hear a little
2007 Apr 21
0
possible bug in xYplot and smean.cl.normal
I'm using R (2.4.1) and Hmisc (3.3-1), and I'd like to plot confidence
intervals using xYplot and smean.cl.normal (or smean.cl.boot) from Hmisc.
You can do that using the summarize() to produce a new data.frame and then
plot with xYplot, or by specifying method=smean.cl.normal in the xYplot.
Both produce very similar graphs in all trivial examples I've tried, but not
in the attached