def plot(self,event,image=None):
_xlab,_ylab,_title,_xmin,_ymin,_xmax,_ymax = self.fetch_labels()
data = self.data
args = rdict({'xlab':_xlab,
'ylab':_ylab,
'main':_title
})
if _xmin and _xmax:
args['xlim']=rsession.translate_to_vector([_xmin,_xmax])
if _ymin and _ymax:
args['ylim']=rsession.translate_to_vector([_ymin,_ymax])
args['col'] = self.get_fill_color()
args['bty'] = self.get_frame_style()
args['pch'] = self.get_point_style()
plotwindow = rsession.RPlotThread(data=data,
args=args,
type='boxplot',
export=image)
plotwindow.start()
self.active_threads.append(plotwindow)
def plot(self,event,image=None):
_xlab,_ylab,_title,_xmin,_ymin,_xmax,_ymax = self.fetch_labels()
data = {'x':self.x}
args = rdict({'xlab':_xlab,
'ylab':_ylab,
'main':_title
})
if _xmin and _xmax:
args['xlim']=rsession.translate_to_vector([_xmin,_xmax])
if _ymin and _ymax:
args['ylim']=rsession.translate_to_vector([_ymin,_ymax])
#One or the other
args['breaks'] = self.parameters['Bin Algorithm'].get()
if self.parameters['Number of Bins']:
args['breaks'] = self.parameters['Number of Bins'].get()
args['col'] = self.get_fill_color()
args['density'] = self.parameters['Fill Density'].get()
args['freq'] = self.parameters['Frequency'].get()
args['labels'] = self.parameters['Count Labels'].get()
plotwindow = rsession.RPlotThread(data=data,
args=args,
type='histogram',
export=image)
plotwindow.start()
self.active_threads.append(plotwindow)
def plot(self,event,image=None):
_xlab,_ylab,_title,_xmin,_ymin,_xmax,_ymax = self.fetch_labels()
data = {'x':self.x}
args = rdict({'xlab':_xlab,
'ylab':_ylab,
'main':_title
})
if _xmin and _xmax:
args['xlim']=rsession.translate_to_vector([_xmin,_xmax])
if _ymin and _ymax:
args['ylim']=rsession.translate_to_vector([_ymin,_ymax])
plotwindow = rsession.RPlotThread(data=data,
args=args,
type='bar',
export=image)
args['col'] = self.get_fill_color()
args['density'] = self.parameters['Fill Density'].get()
plotwindow.start()
self.active_threads.append(plotwindow)
def plot(self,event,image=None):
_xlab,_ylab,_title,_xmin,_ymin,_xmax,_ymax = self.fetch_labels()
data = {'x':self.x,
'y':self.y}
#We use an rdict so that any keys with empty values get thrown out and avoid conflicts with R
args = rdict({'xlab':_xlab,
'ylab':_ylab,
'main':_title,
})
if _xmin and _xmax:
args['xlim']=rsession.translate_to_vector([_xmin,_xmax])
if _ymin and _ymax:
args['ylim']=rsession.translate_to_vector([_ymin,_ymax])
#Normal Parameters
args['asp'] = self.parameters['Aspect Ratio'].get()
args['col'] = self.get_point_color()
args['bty'] = self.get_frame_style()
#R takes the first character of the type as an argument i.e 'o' = overplot
args['type'] = self.parameters['Type'].get()[0].lower()
args['pch'] = self.get_point_style()
args['lty'] = self.get_line_style()+1
plotwindow = rsession.RPlotThread(data=data,
args=args,
type='scatter',
export=image)
plotwindow.start()
self.active_threads.append(plotwindow)
def plot(self,event,image=None):
_xlab,_ylab,_title,_xmin,_ymin,_xmax,_ymax = self.fetch_labels()
data = {'x':self.x,
'y':self.y}
args = rdict({'xlab':_xlab,
'ylab':_ylab,
'main':_title
})
if _xmin and _xmax:
args['xlim']=rsession.translate_to_vector([_xmin,_xmax])
if _ymin and _ymax:
args['ylim']=rsession.translate_to_vector([_ymin,_ymax])
args['col'] = self.get_point_color()
args['bty'] = self.get_frame_style()
args['pch'] = self.get_point_style()
if self.x and self.y:
plotwindow = rsession.RPlotThread(data=data,
args=args,
type='qqplot',
export=image)
elif self.x:
#info('qnorm')
plotwindow = rsession.RPlotThread(data=data,
type='qqnorm',
export=image)
else:
error('Required variables are not set.')
return
plotwindow.start()
self.active_threads.append(plotwindow)
if self.parameters['Show Line'].get():
plotwindow.add_cmd(rsession.r['qqline'],self.x,col=self.get_line_color(),lty=self.get_line_style())