How is a q-q plot different from a quantile plot?

Hi. What is the difference between a quantile plot and a q-q plot?
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A q-q plot is a quantile - quantile plot  which plots the quantiles of the density function in question against a known density function.  This is useful in checking distributions for fit.  Sometimes a q-q plot is refered to as a quantile plot - but this is not fully correct

A quantile plot is a plot which plots the quantiles of the density function in question against the explanatory density.

Background for q-q plot  

A fairly easy reference for a pure quantile plot can be found here:

Background for quantile plot.

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A Q-Q plot is a plot "of quantiles"

>>>> A Q-Q plot is a plot of the quantiles <<<<
of two distributions against each other, or a plot based on estimates of the quantiles. The pattern of points in the plot is used to compare the two distributions.

The main step in constructing a Q-Q plot is calculating or estimating the quantiles to be plotted. If one or both of the axes in a Q-Q plot is based on a theoretical distribution with a continuous cumulative distribution function (CDF), all quantiles are uniquely defined and can be obtained by inverting the CDF. If a theoretical probability distribution with a discontinuous CDF is one of the two distributions being compared, some of the quantiles may not be defined, so an interpolated quantile may be plotted. If the Q-Q plot is based on data, there are multiple quantile estimators in use. Rules for forming Q-Q plots when quantiles must be estimated or interpolated are called plotting positions.
All of which is true but did not answer the posted question which was about the difference between two different plots.

One (the Q-Q) plots the data distribution against a known distribution. The other (quantile) plots the CDF against the independent variable... that is it just shows the empirical distribution without comparing it to ANY distribution. BTW - thanks for repeating my link for the q-q plot in your answer, as if graziazi couldn't see it the first time. I won't have to repeat it here a third time.  
I'm interpeting the info differently, and maybe wrongly.
The poster asked the difference between a quantile plot and a Q-Q plot.
My interpetation of the info is that they are not both plots.
A Q-Q plot is a plot "of quantiles". I'm not reading anything that identifies a quantile plot. A Q-Q plot is a "plot of quantiles" thus the way I'm reading it there is no such thing as a quantile plot. There are "plots of quantiles" and that plot is called a Q-Q plot.
Yes nick, there is such a thing as a quantile plot. (Take a look at my original post) Well, there was one link above you could look at. This following link will show a nice quantile graph.

 A quantile graph or plot is like a cumulative histogram.  The CDF is the same as the quantile graph for a function and is the term most often used by people working with statistics. A Q-Q or quantile-quantile graph is NOT a quantile graph, but people often get lazy and call it one since the data shown by a quantile graph is usually shown by graphing the CDF. Who wants to say quantile-quantile when a simple 'quantile' will do for them?

However, for a new student trying to learn a new topic, the sloppy use of the language can be very confusing. What one person "knows" to be a short version of a longer phrase, to the new student the short version means, potentially, something else.   Although not in great use, a quantile plot does exist and should not be mixed with a quantile-quantile plot  (which is better called just a q-q plot)

One correction to my original post. Where I said "against the explanatory density" in the second paragraph. It should have read "against the explanatory variable"
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