diff --git a/examples/injection_examples/non_tensor.py b/examples/injection_examples/non_tensor.py
index c75fcf0dbcaad9eb589e700f8baccdb393818a89..4b18f9648d8a98a6b9822325504090888b5d5cc1 100644
--- a/examples/injection_examples/non_tensor.py
+++ b/examples/injection_examples/non_tensor.py
@@ -29,7 +29,7 @@ def vector_tensor_sine_gaussian(frequency_array, hrss, Q, frequency, epsilon):
         Relative size of the vector modes compared to the tensor modes.
     """
     waveform_polarizations = bilby.gw.source.sinegaussian(
-        frequency_array, hrss, Q, frequency, 0, 0, 0, 0)
+        frequency_array, hrss, Q, frequency)
 
     waveform_polarizations['x'] = epsilon * waveform_polarizations['plus']
     waveform_polarizations['y'] = epsilon * waveform_polarizations['cross']
diff --git a/examples/injection_examples/plot_skymap.py b/examples/injection_examples/plot_skymap.py
index d0b394cf29ce77eb3d985261886e76c60919de4e..5d2a1ffaf22df70f40bc33b1d81c6127b0fab5a5 100644
--- a/examples/injection_examples/plot_skymap.py
+++ b/examples/injection_examples/plot_skymap.py
@@ -43,9 +43,10 @@ likelihood = bilby.gw.GravitationalWaveTransient(
 
 result = bilby.run_sampler(
     likelihood=likelihood, priors=priors, sampler='dynesty', npoints=1000,
-    injection_parameters=injection_parameters, outdir=outdir, label=label)
+    injection_parameters=injection_parameters, outdir=outdir, label=label, result_class=bilby.gw.result.CBCResult)
 
 # make some plots of the outputs
 result.plot_corner()
 
-bilby.gw.utils.plot_skymap(result, nside=2**6)
+# will require installation of ligo.skymap (pip install ligo.skymap)
+result.plot_skymap(maxpts=5000)