GretlWiki - User contributions [en]

Blog

2025-02-05T16:32:03Z

SvenS:

New features, fixed bugs, and software news are shown here

A good concise list is provided in the official [https://gretl.sourceforge.net/ChangeLog.html changelog], here the aim is to be more explicit and sometimes give some examples. Before the respective new gretl version is released, the examples will only work in snapshots that are recent enough, or with self-compiled bleeding-edge versions.

=== New in gretl 2024b ===

==== gridplot title ====
You can add a title to a gridplot now.
<pre>
open bikesharing
gpbuild bikers
gnuplot temp --time-series
gnuplot casual --time-series
end gpbuild

gridplot bikers --title="Cool bikers" --output=display
</pre>

==== Dynamic scaling of fonts in many gretl windows ====

You can enlarge or shrink the font size very much like in a web browser, for example using ctrl_+ or ctrl_- keys.

==== Gamma distribution in distribution plotting tools ====

The distribution plotting tool (under the Tools menu) now also supports the Gamma distribution.

==== Panel dataset subsampling ====

If you're subsampling a panel dataset with the graphical dialogs, telling gretl to maintain the panel structure is now easier.

=== New in gretl 2024a ===
(as always, just a selection)

==== more flexible ''info'' command ====

Not a huge new feature, but the ''info'' command now offers a scripting way to editing the meta data of a dataset. The GUI analog (which has always been possible) is to go to Data / Dataset info.

The relevant new options are ''--to-file'' and ''--from-file''.

==== matrix and time-series in ''gnuplot'' command ====
''gnuplot'' command with --matrix and --time-series options show
dataset time on x-axis if possible.

<pre>
open denmark
m = {LRM}
gnuplot --matrix=m --time-series --with-lines --output=display
</pre>

And also related to time series plots with matrices, you can now do:

<pre>
open denmark
m = {dataset}
tsplots --matrix=m --output=display
</pre>

===New in gretl 2023c===
(this is just a selection, not exhaustive)

====''gridplot'' command====
This new native command makes it possible to arrange several subplots in a grid (rectangular) layout. As such it will pretty much replace the contributed function package ''multiplot''. There are basically two ways of using it:

First, using some other plotting commands, redirect the output to a string buffer inside a strings array. Then execute the gridplot command on that array. Example:

<pre>
open australia
strings temparr = array(2)
qqplot IAU --outbuf=temparr[1]
kdplot E --outbuf=temparr[2]
gridplot temparr --output=display
</pre>

Secondly, use the companion command ''gpbuild'' in a block format, and then define the individual parts:

<pre>
open data4-10
gpbuild MyPlots
gnuplot ENROLL CATHOL
gnuplot ENROLL INCOME
gnuplot ENROLL COLLEGE
end gpbuild
gridplot MyPlots --output=display
</pre>

====''tsplots'' (virtual) command====
You can now use the new ''tsplots'' command to create several joint time-series plots easily. Example:

<pre>
open denmark
tsplots LRM LRY --output=display
</pre>

This has actually "always" been possible with the ''scatters'' command --and was duly documented-- but it was somewhat counterintuitive to use a command for scatter plots to draw time-series lines.

====plot multiple bands====
Plotting a single band to represent a confidence area or something similar has been possible for a long long time. Now you can also insert more than one band into a plot. The syntax relies on specifying a hansl bundle for each band and then passing all of them inside an array of bundles to the gnuplot call. Meaningless example:

<pre>
# create artificial data
nulldata 50
setobs 1 1 --time-series
series y = log(time) # main line to be plotted
series w = normal() # example width series
series x1 = y + 0.1 # optional center different from y
series x2 = y - 0.1 # ditto

# specify the band specs
bundle b1 = _(center="x1", width="w", style="bars")
bundle b2 = _(center="x2", width="w", factor=0.2, style="fill", color="grey")
bundles bandspecs = defarray(b1,b2)

# execute the plot
gnuplot y --time-series --with-lines --output=display --bands=bandspecs
</pre>

====cluster-robust standard errors generalized for panel models====
For the ''panel'' command, the ''--robust'' option has always given you robust standard errors in the sense that clustering by panel units (groups, whatever you want to call them) is done by gretl. Several generalizations are now possible with the ''--cluster'' option; see also ch. 22 of the user guide.

*clustering by time period, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=$time
</pre>

*clustering by a user-defined variable, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=IND
</pre>

* two-way clustering, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=$time,IND
</pre>
(If you want to combine clustering by panel units/groups with another variable, you can use the keyword <code>$unit</code> just like <code>$time</code>.)

Please also check out the ''--no-df-corr'' option if you want to compare results with other software.

*Driscoll-Kraay robust standard errors, example:
<pre>
open abdata
set panel_robust scc # scc: spatial-correlation consistent
panel WAGE const INDOUTPT --robust
</pre>
Driscoll-Kraay standard errors have also been available in the contributed package ''CSDpanel'', now they are natively implemented. This is not the same as two-way clustering, but they are related. This is also available in the GUI by selecting the corresponding SCC option for the robust variance estimation. For scripting, the ''hac_lag'' setting is also relevant. See section 22.4. of the guide.

====panel data handling: convert side-by-side time series in the GUI====
This is not so easy to explain, but suppose you have a variable 'GDP' as several time series for several countries, say for France and the US. Then you want to convert this from a time-series dataset to a panel dataset with a single series spanning the two units (countries). This has always been possible with scripting, see section 4.5 of the user guide. Now you can also do it in the menu GUI interface.
[[File:Panel dataset structure dialog.png|left|thumb]]

====dark theme on Windows and MacOS====
An experimental dark theme option is now available on non-Linux systems.

Blog

2025-02-05T16:29:42Z

SvenS:

New features, fixed bugs, and software news are shown here

A good concise list is provided in the official [https://gretl.sourceforge.net/ChangeLog.html changelog], here the aim is to be more explicit and sometimes give some examples. Before the respective new gretl version is released, the examples will only work in snapshots that are recent enough, or with self-compiled bleeding-edge versions.

=== New in gretl 2024b ===

==== gridplot title ====
You can add a title to a gridplot now.
<pre>
open bikesharing
gpbuild bikers
gnuplot temp --time-series
gnuplot casual --time-series
end gpbuild

gridplot bikers --title="Cool bikers" --output=display
</pre>

==== Dynamic scaling of fonts in many gretl windows ====

You can enlarge or shrink the font size very much like in a web browser, for example using ctrl_+ or ctrl_- keys.

==== Gamma distribution in distribution plotting tools ====

he distribution plotting tool (under the Tools menu) now also supports the Gamma distribution.

==== Panel dataset subsampling ====

If you're subsampling a panel dataset with the graphical dialogs, telling gretl to maintain the panel structure is now easier.

=== New in gretl 2024a ===
(as always, just a selection)

==== more flexible ''info'' command ====

Not a huge new feature, but the ''info'' command now offers a scripting way to editing the meta data of a dataset. The GUI analog (which has always been possible) is to go to Data / Dataset info.

The relevant new options are ''--to-file'' and ''--from-file''.

==== matrix and time-series in ''gnuplot'' command ====
''gnuplot'' command with --matrix and --time-series options show
dataset time on x-axis if possible.

<pre>
open denmark
m = {LRM}
gnuplot --matrix=m --time-series --with-lines --output=display
</pre>

And also related to time series plots with matrices, you can now do:

<pre>
open denmark
m = {dataset}
tsplots --matrix=m --output=display
</pre>

===New in gretl 2023c===
(this is just a selection, not exhaustive)

====''gridplot'' command====
This new native command makes it possible to arrange several subplots in a grid (rectangular) layout. As such it will pretty much replace the contributed function package ''multiplot''. There are basically two ways of using it:

First, using some other plotting commands, redirect the output to a string buffer inside a strings array. Then execute the gridplot command on that array. Example:

<pre>
open australia
strings temparr = array(2)
qqplot IAU --outbuf=temparr[1]
kdplot E --outbuf=temparr[2]
gridplot temparr --output=display
</pre>

Secondly, use the companion command ''gpbuild'' in a block format, and then define the individual parts:

<pre>
open data4-10
gpbuild MyPlots
gnuplot ENROLL CATHOL
gnuplot ENROLL INCOME
gnuplot ENROLL COLLEGE
end gpbuild
gridplot MyPlots --output=display
</pre>

====''tsplots'' (virtual) command====
You can now use the new ''tsplots'' command to create several joint time-series plots easily. Example:

<pre>
open denmark
tsplots LRM LRY --output=display
</pre>

This has actually "always" been possible with the ''scatters'' command --and was duly documented-- but it was somewhat counterintuitive to use a command for scatter plots to draw time-series lines.

====plot multiple bands====
Plotting a single band to represent a confidence area or something similar has been possible for a long long time. Now you can also insert more than one band into a plot. The syntax relies on specifying a hansl bundle for each band and then passing all of them inside an array of bundles to the gnuplot call. Meaningless example:

<pre>
# create artificial data
nulldata 50
setobs 1 1 --time-series
series y = log(time) # main line to be plotted
series w = normal() # example width series
series x1 = y + 0.1 # optional center different from y
series x2 = y - 0.1 # ditto

# specify the band specs
bundle b1 = _(center="x1", width="w", style="bars")
bundle b2 = _(center="x2", width="w", factor=0.2, style="fill", color="grey")
bundles bandspecs = defarray(b1,b2)

# execute the plot
gnuplot y --time-series --with-lines --output=display --bands=bandspecs
</pre>

====cluster-robust standard errors generalized for panel models====
For the ''panel'' command, the ''--robust'' option has always given you robust standard errors in the sense that clustering by panel units (groups, whatever you want to call them) is done by gretl. Several generalizations are now possible with the ''--cluster'' option; see also ch. 22 of the user guide.

*clustering by time period, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=$time
</pre>

*clustering by a user-defined variable, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=IND
</pre>

* two-way clustering, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=$time,IND
</pre>
(If you want to combine clustering by panel units/groups with another variable, you can use the keyword <code>$unit</code> just like <code>$time</code>.)

Please also check out the ''--no-df-corr'' option if you want to compare results with other software.

*Driscoll-Kraay robust standard errors, example:
<pre>
open abdata
set panel_robust scc # scc: spatial-correlation consistent
panel WAGE const INDOUTPT --robust
</pre>
Driscoll-Kraay standard errors have also been available in the contributed package ''CSDpanel'', now they are natively implemented. This is not the same as two-way clustering, but they are related. This is also available in the GUI by selecting the corresponding SCC option for the robust variance estimation. For scripting, the ''hac_lag'' setting is also relevant. See section 22.4. of the guide.

====panel data handling: convert side-by-side time series in the GUI====
This is not so easy to explain, but suppose you have a variable 'GDP' as several time series for several countries, say for France and the US. Then you want to convert this from a time-series dataset to a panel dataset with a single series spanning the two units (countries). This has always been possible with scripting, see section 4.5 of the user guide. Now you can also do it in the menu GUI interface.
[[File:Panel dataset structure dialog.png|left|thumb]]

====dark theme on Windows and MacOS====
An experimental dark theme option is now available on non-Linux systems.

Blog

2024-01-16T10:11:56Z

SvenS: Start section on gretl 2024a (and add the dark theme announcement to 2023c)

New features, fixed bugs, and software news are shown here

A good concise list is provided in the official [https://gretl.sourceforge.net/ChangeLog.html changelog], here the aim is to be more explicit and sometimes give some examples. Before the respective new gretl version is released, the examples will only work in snapshots that are recent enough, or with self-compiled bleeding-edge versions.

=== New in what will be gretl 2024a ===
(as always, just a selection)

==== more flexible ''info'' command ====

Not a huge new feature, but the ''info'' command now offers a scripting way to editing the meta data of a dataset. The GUI analog (which has always been possible) is to go to Data / Dataset info.

The relevant new options are ''--to-file'' and ''--from-file''.

===New in gretl 2023c===
(this is just a selection, not exhaustive)

====''gridplot'' command====
This new native command makes it possible to arrange several subplots in a grid (rectangular) layout. As such it will pretty much replace the contributed function package ''multiplot''. There are basically two ways of using it:

First, using some other plotting commands, redirect the output to a string buffer inside a strings array. Then execute the gridplot command on that array. Example:

<pre>
open australia
strings temparr = array(2)
qqplot IAU --outbuf=temparr[1]
kdplot E --outbuf=temparr[2]
gridplot temparr --output=display
</pre>

Secondly, use the companion command ''gpbuild'' in a block format, and then define the individual parts:

<pre>
open data4-10
gpbuild MyPlots
gnuplot ENROLL CATHOL
gnuplot ENROLL INCOME
gnuplot ENROLL COLLEGE
end gpbuild
gridplot MyPlots --output=display
</pre>

====''tsplots'' (virtual) command====
You can now use the new ''tsplots'' command to create several joint time-series plots easily. Example:

<pre>
open denmark
tsplots LRM LRY --output=display
</pre>

This has actually "always" been possible with the ''scatters'' command --and was duly documented-- but it was somewhat counterintuitive to use a command for scatter plots to draw time-series lines.

====plot multiple bands====
Plotting a single band to represent a confidence area or something similar has been possible for a long long time. Now you can also insert more than one band into a plot. The syntax relies on specifying a hansl bundle for each band and then passing all of them inside an array of bundles to the gnuplot call. Meaningless example:

<pre>
# create artificial data
nulldata 50
setobs 1 1 --time-series
series y = log(time) # main line to be plotted
series w = normal() # example width series
series x1 = y + 0.1 # optional center different from y
series x2 = y - 0.1 # ditto

# specify the band specs
bundle b1 = _(center="x1", width="w", style="bars")
bundle b2 = _(center="x2", width="w", factor=0.2, style="fill", color="grey")
bundles bandspecs = defarray(b1,b2)

# execute the plot
gnuplot y --time-series --with-lines --output=display --bands=bandspecs
</pre>

====cluster-robust standard errors generalized for panel models====
For the ''panel'' command, the ''--robust'' option has always given you robust standard errors in the sense that clustering by panel units (groups, whatever you want to call them) is done by gretl. Several generalizations are now possible with the ''--cluster'' option; see also ch. 22 of the user guide.

*clustering by time period, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=$time
</pre>

*clustering by a user-defined variable, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=IND
</pre>

* two-way clustering, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=$time,IND
</pre>
(If you want to combine clustering by panel units/groups with another variable, you can use the keyword <code>$unit</code> just like <code>$time</code>.)

Please also check out the ''--no-df-corr'' option if you want to compare results with other software.

*Driscoll-Kraay robust standard errors, example:
<pre>
open abdata
set panel_robust scc # scc: spatial-correlation consistent
panel WAGE const INDOUTPT --robust
</pre>
Driscoll-Kraay standard errors have also been available in the contributed package ''CSDpanel'', now they are natively implemented. This is not the same as two-way clustering, but they are related. This is also available in the GUI by selecting the corresponding SCC option for the robust variance estimation. For scripting, the ''hac_lag'' setting is also relevant. See section 22.4. of the guide.

====panel data handling: convert side-by-side time series in the GUI====
This is not so easy to explain, but suppose you have a variable 'GDP' as several time series for several countries, say for France and the US. Then you want to convert this from a time-series dataset to a panel dataset with a single series spanning the two units (countries). This has always been possible with scripting, see section 4.5 of the user guide. Now you can also do it in the menu GUI interface.
[[File:Panel dataset structure dialog.png|left|thumb]]

====dark theme on Windows and MacOS====
An experimental dark theme option is now available on non-Linux systems.

Blog

2023-12-07T11:14:00Z

SvenS: Adjust to recent syntax changes in gretl 2023c.

New features, fixed bugs, and software news are shown here

A good concise list is provided in the official [https://gretl.sourceforge.net/ChangeLog.html changelog], here the aim is to be more explicit and sometimes give some examples. Before the respective new gretl version is released, the examples will only work in snapshots that are recent enough, or with self-compiled bleeding-edge versions.

=== New in gretl 2023c ===
(this is just a selection, not exhaustive)

==== ''gridplot'' command ====
This new native command makes it possible to arrange several subplots in a grid (rectangular) layout. As such it will pretty much replace the contributed function package ''multiplot''. There are basically two ways of using it:

First, using some other plotting commands, redirect the output to a string buffer inside a strings array. Then execute the gridplot command on that array. Example:

<pre>
open australia
strings temparr = array(2)
qqplot IAU --outbuf=temparr[1]
kdplot E --outbuf=temparr[2]
gridplot temparr --output=display
</pre>

Secondly, use the companion command ''gpbuild'' in a block format, and then define the individual parts:

<pre>
open data4-10
gpbuild MyPlots
gnuplot ENROLL CATHOL
gnuplot ENROLL INCOME
gnuplot ENROLL COLLEGE
end gpbuild
gridplot MyPlots --output=display
</pre>

==== ''tsplots'' (virtual) command ====
You can now use the new ''tsplots'' command to create several joint time-series plots easily. Example:

<pre>
open denmark
tsplots LRM LRY --output=display
</pre>

This has actually "always" been possible with the ''scatters'' command --and was duly documented-- but it was somewhat counterintuitive to use a command for scatter plots to draw time-series lines.

==== plot multiple bands ====
Plotting a single band to represent a confidence area or something similar has been possible for a long long time. Now you can also insert more than one band into a plot. The syntax relies on specifying a hansl bundle for each band and then passing all of them inside an array of bundles to the gnuplot call. Meaningless example:

<pre>
# create artificial data
nulldata 50
setobs 1 1 --time-series
series y = log(time) # main line to be plotted
series w = normal() # example width series
series x1 = y + 0.1 # optional center different from y
series x2 = y - 0.1 # ditto

# specify the band specs
bundle b1 = _(center="x1", width="w", style="bars")
bundle b2 = _(center="x2", width="w", factor=0.2, style="fill", color="grey")
bundles bandspecs = defarray(b1,b2)

# execute the plot
gnuplot y --time-series --with-lines --output=display --bands=bandspecs
</pre>

==== cluster-robust standard errors generalized for panel models ====
For the ''panel'' command, the ''--robust'' option has always given you robust standard errors in the sense that clustering by panel units (groups, whatever you want to call them) is done by gretl. Several generalizations are now possible with the ''--cluster'' option; see also ch. 22 of the user guide.

* clustering by time period, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=$time
</pre>

* clustering by a user-defined variable, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=IND
</pre>

* two-way clustering, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=$time,IND
</pre>
(If you want to combine clustering by panel units/groups with another variable, you can use the keyword <code>$unit</code> just like <code>$time</code>.)

Please also check out the ''--no-df-corr'' option if you want to compare results with other software.

* Driscoll-Kraay robust standard errors, example:
<pre>
open abdata
set panel_robust scc # scc: spatial-correlation consistent
panel WAGE const INDOUTPT --robust
</pre>
Driscoll-Kraay standard errors have also been available in the contributed package ''CSDpanel'', now they are natively implemented. This is not the same as two-way clustering, but they are related. This is also available in the GUI by selecting the corresponding SCC option for the robust variance estimation. For scripting, the ''hac_lag'' setting is also relevant. See section 22.4. of the guide.

====panel data handling: convert side-by-side time series in the GUI====
This is not so easy to explain, but suppose you have a variable 'GDP' as several time series for several countries, say for France and the US. Then you want to convert this from a time-series dataset to a panel dataset with a single series spanning the two units (countries). This has always been possible with scripting, see section 4.5 of the user guide. Now you can also do it in the menu GUI interface.
[[File:Panel dataset structure dialog.png|left|thumb]]

Blog

2023-11-02T13:37:09Z

SvenS: /* cluster-robust standard errors generalized for panel models */

New features, fixed bugs, and software news are shown here

A good concise list is provided in the official [https://gretl.sourceforge.net/ChangeLog.html changelog], here the aim is to be more explicit and sometimes give some examples. Before the respective new gretl version is released, the examples will only work in snapshots that are recent enough, or with self-compiled bleeding-edge versions.

=== New in what will be gretl 2023c ===
(this is just a selection, not exhaustive)

==== ''gridplot'' command ====
This new native command makes it possible to arrange several subplots in a grid (rectangular) layout. As such it will pretty much replace the contributed function package ''multiplot''. There are basically two ways of using it:

First, using some other plotting commands, redirect the output to a string buffer inside a strings array. Then execute the gridplot command on that array. Example:

<pre>
open australia
strings temparr = array(2)
qqplot IAU --outbuf=temparr[1]
kdplot E --outbuf=temparr[2]
gridplot temparr --output=display
</pre>

Secondly, use the companion command ''gpbuild'' in a block format, and then define the individual parts:

<pre>
open data4-10
gpbuild MyPlots
gnuplot ENROLL CATHOL
gnuplot ENROLL INCOME
gnuplot ENROLL COLLEGE
end gpbuild
gridplot MyPlots --output=display
</pre>

==== ''tsplots'' (virtual) command ====
You can now use the new ''tsplots'' command to create several joint time-series plots easily. Example:

<pre>
open denmark
tsplots LRM LRY --output=display
</pre>

This has actually "always" been possible with the ''scatters'' command --and was duly documented-- but it was somewhat counterintuitive to use a command for scatter plots to draw time-series lines.

==== plot multiple bands ====
Plotting a single band to represent a confidence area or something similar has been possible for a long long time. Now you can also insert more than one band into a plot. The syntax relies on specifying a hansl bundle for each band and then passing all of them inside an array of bundles to the gnuplot call. Meaningless example:

<pre>
# create artificial data
nulldata 50
setobs 1 1 --time-series
series y = log(time) # main line to be plotted
series w = normal() # example width series
series x1 = y + 0.1 # optional center different from y
series x2 = y - 0.1 # ditto

# specify the band specs
bundle b1 = _(center="x1", width="w", style="bars")
bundle b2 = _(center="x2", width="w", factor=0.2, style="fill", color="grey")
bundles bandspecs = defarray(b1,b2)

# execute the plot
gnuplot y --time-series --with-lines --output=display --bands=bandspecs
</pre>

==== cluster-robust standard errors generalized for panel models ====
For the ''panel'' command, the ''--robust'' option has always given you robust standard errors in the sense that clustering by panel units (groups, whatever you want to call them) is done by gretl. Several generalizations are now possible with the ''--cluster'' option; see also ch. 22 of the user guide.

* clustering by period, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=period
</pre>

* clustering by a user-defined variable, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=IND
</pre>

* two-way clustering, example:
<pre>
open abdata
genr time # can also use: series mytime = $obsminor
panel WAGE const INDOUTPT --cluster=time,IND
</pre>
Please also check out the ''--no-df-corr'' option if you want to compare results with other software.

* Driscoll-Kraay robust standard errors, example:
<pre>
open abdata
set panel_robust scc # scc: spatial-correlation consistent
panel WAGE const INDOUTPT --robust
</pre>
Driscoll-Kraay standard errors have also been available in the contributed package ''CSDpanel'', now they are natively implemented. This is not the same as two-way clustering, but they are related. This is also available in the GUI by selecting the corresponding SCC option for the robust variance estimation. For scripting, the ''hac_lag'' setting is also relevant. See section 22.4. of the guide.

====panel data handling: convert side-by-side time series in the GUI====
This is not so easy to explain, but suppose you have a variable 'GDP' as several time series for several countries, say for France and the US. Then you want to convert this from a time-series dataset to a panel dataset with a single series spanning the two units (countries). This has always been possible with scripting, see section 4.5 of the user guide. Now you can also do it in the menu GUI interface.
[[File:Panel dataset structure dialog.png|left|thumb]]

Blog

2023-11-02T13:35:24Z

SvenS: add Driscoll-Kraay

New features, fixed bugs, and software news are shown here

A good concise list is provided in the official [https://gretl.sourceforge.net/ChangeLog.html changelog], here the aim is to be more explicit and sometimes give some examples. Before the respective new gretl version is released, the examples will only work in snapshots that are recent enough, or with self-compiled bleeding-edge versions.

=== New in what will be gretl 2023c ===
(this is just a selection, not exhaustive)

==== ''gridplot'' command ====
This new native command makes it possible to arrange several subplots in a grid (rectangular) layout. As such it will pretty much replace the contributed function package ''multiplot''. There are basically two ways of using it:

First, using some other plotting commands, redirect the output to a string buffer inside a strings array. Then execute the gridplot command on that array. Example:

<pre>
open australia
strings temparr = array(2)
qqplot IAU --outbuf=temparr[1]
kdplot E --outbuf=temparr[2]
gridplot temparr --output=display
</pre>

Secondly, use the companion command ''gpbuild'' in a block format, and then define the individual parts:

<pre>
open data4-10
gpbuild MyPlots
gnuplot ENROLL CATHOL
gnuplot ENROLL INCOME
gnuplot ENROLL COLLEGE
end gpbuild
gridplot MyPlots --output=display
</pre>

==== ''tsplots'' (virtual) command ====
You can now use the new ''tsplots'' command to create several joint time-series plots easily. Example:

<pre>
open denmark
tsplots LRM LRY --output=display
</pre>

This has actually "always" been possible with the ''scatters'' command --and was duly documented-- but it was somewhat counterintuitive to use a command for scatter plots to draw time-series lines.

==== plot multiple bands ====
Plotting a single band to represent a confidence area or something similar has been possible for a long long time. Now you can also insert more than one band into a plot. The syntax relies on specifying a hansl bundle for each band and then passing all of them inside an array of bundles to the gnuplot call. Meaningless example:

<pre>
# create artificial data
nulldata 50
setobs 1 1 --time-series
series y = log(time) # main line to be plotted
series w = normal() # example width series
series x1 = y + 0.1 # optional center different from y
series x2 = y - 0.1 # ditto

# specify the band specs
bundle b1 = _(center="x1", width="w", style="bars")
bundle b2 = _(center="x2", width="w", factor=0.2, style="fill", color="grey")
bundles bandspecs = defarray(b1,b2)

# execute the plot
gnuplot y --time-series --with-lines --output=display --bands=bandspecs
</pre>

==== cluster-robust standard errors generalized for panel models ====
For the ''panel'' command, the ''--robust'' option has always given you robust standard errors in the sense that clustering by panel units (groups, whatever you want to call them) is done by gretl. Several generalizations are now possible with the ''--cluster'' option; see also ch. 22 of the user guide.

* clustering by period, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=period
</pre>

* clustering by a user-defined variable, example:
<pre>
open abdata
panel WAGE const INDOUTPT --cluster=IND
</pre>

* two-way clustering, example:
<pre>
open abdata
genr time # can also use: series mytime = $obsminor
panel WAGE const INDOUTPT --cluster=time,IND
</pre>
Please also check out the ''--no-df-corr'' option if you want to compare results with other software.

* Driscoll-Kraay robust standard errors, example:
<pre>
open abdata
set panel_robust scc # scc: spatial-correlation consistent
panel WAGE const INDOUTPT --robust
</pre>
Driscoll-Kraay standard errors have also been available in the contributed package ''CSDpanel'', now they are natively implemented. This is not the same as two-way clustering, but they are related. This is also available in the GUI by selecting the corresponding SCC option for the robust variance estimation.

====panel data handling: convert side-by-side time series in the GUI====
This is not so easy to explain, but suppose you have a variable 'GDP' as several time series for several countries, say for France and the US. Then you want to convert this from a time-series dataset to a panel dataset with a single series spanning the two units (countries). This has always been possible with scripting, see section 4.5 of the user guide. Now you can also do it in the menu GUI interface.
[[File:Panel dataset structure dialog.png|left|thumb]]

Blog

2023-11-02T12:29:54Z

SvenS: add time-series GUI stacking

File:Panel dataset structure dialog.png

2023-11-02T12:27:42Z

SvenS:

dialog screenshot

File:Panel dataset structure.png

2023-11-02T12:24:46Z

SvenS:

screenshot

Blog

2023-11-02T12:10:32Z

SvenS: add clustered standard errors

Blog

2023-11-02T11:29:01Z

SvenS: /* plot multiple bands */

Blog

2023-11-02T11:26:34Z

SvenS: add multiple bands feature

Blog

2023-10-31T18:05:50Z

SvenS: Add tsplots

Blog

2023-10-31T18:00:46Z

SvenS: Started the page, added "gridplot"