R help - Jun 2017 - Model studies in one analysis using treatment as a five level moderator in a meta-regression

Hello,


I am medical student, writing a meta-analysis on complication and reoperation
rates after the five most common treatments of distal radius fractures. I have
been busy with the statistics for months by my self, but find it quite hard
since our classes were very basic. Now I want to compare the treatment
modalities to see if there are significant differences. Using R I was able to
synthesize the complication rates and reoperation rates for each treatment
method. But I never had any R course and managed by trial and error, so the code
probably doesn't look that great. Someone told me I could best model the
data in one analysis using treatment as a five level moderator in a
meta-regression. Can some help me with the R code to do this? Your help would be
very much appreciated.


Thank you,


Jay


Study| Event Type| Treatment| Number of Events (n)| N| n/N|

Kumaravel| Complications| EF| 3| 23| 0,1304348|

Franck| Complications| EF| 2| 20| 0,1|

Schonnemann| Complications| EF| 8| 30| 0,2666667|

Aita| Complications| EF| 1| 16| 0,0625|

Hove| Complications| EF| 31| 39| 0,7948718|

Andersen| Complications| EF| 26| 75| 0,3466667|

Krughaug| Complications| EF| 22| 75| 0,2933333|

Moroni| Complications| EF| 0| 20| 0|

Plate| Complications| IMN| 3| 30| 0,1|

Chappuis| Complications| IMN| 4| 16| 0,25|

Gradl| Complications| IMN| 12| 66| 0,1818182|

Schonnemann| Complications| IMN| 6| 31| 0,1935484|

Aita| Complications| IMN| 1| 16| 0,0625|

Dremstrop| Complications| IMN| 17| 44| 0,3863636|

Wong| Complications| PC| 1| 30| 0,0333333|

Kumaravel| Complications| PC| 4| 25| 0,16|


Dataset on my dropbox:
https://www.dropbox.com/s/j1urqzr99bt76ip/Basics%20excel%20file%20complication%20and%20reoperation%20rate.xlsx?dl=0

Basics excel file complication and reoperation
rate.xlsx<https://www.dropbox.com/s/j1urqzr99bt76ip/Basics%20excel%20file%20complication%20and%20reoperation%20rate.xlsx?dl=0>
www.dropbox.com
Shared with Dropbox




library(meta)
library(stargazer)
library(foreign)

All <-read.spss("C:\\Users\\313635aa.STUDENT\\Desktop\\Meta-Analyse
Complications and Reoperations.sav",to.data.frame = T, use.value.labels =
T)
All <- na.omit(All)

Complications <- All[which(All[,"Event_Type"] ==
"Complications"),]
Re_operation <- All[which(All[,"Event_Type"] ==
"Reoperations"),]

EF <- All[which(All[,"Treatment"] == "EF"),]
IMN <- All[which(All[,"Treatment"] == "IMN"),]
pc <- All[which(All[,"Treatment"] == "PC"),]
KW <- All[which(All[,"Treatment"] == "KW"),]
VPO <- All[which(All[,"Treatment"] == "VPO"),]

EF_C <- EF[which(EF[,"Event_Type"] == "Complications"),]
EF_R <- EF[which(EF[,"Event_Type"] == "Reoperations"),]

IMN_C <- IMN[which(IMN[,"Event_Type"] ==
"Complications"),]
IMN_R <- IMN[which(IMN[,"Event_Type"] ==
"Reoperations"),]

pc_C <- pc[which(pc[,"Event_Type"] == "Complications"),]
pc_R <- pc[which(pc[,"Event_Type"] == "Reoperations"),]

KW_C <- KW[which(KW[,"Event_Type"] == "Complications"),]
KW_R <- KW[which(KW[,"Event_Type"] == "Reoperations"),]

VPO_C <- VPO[which(VPO[,"Event_Type"] ==
"Complications"),]
VPO_R <- VPO[which(VPO[,"Event_Type"] ==
"Reoperations"),]

Output <- function(x, y, k.min=10){
file <- metaprop(Events_n, N, Study_ID, data = x)

forest.meta(file, studlab = T, pooled.totals = T, bysort = F)

dev.copy2pdf(file=y, width = 11.69, height = 8.27)
print(file)
}

R code on my dropbox:
https://www.dropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0

[https://cfl.dropboxstatic.com/static/images/icons128/page_white_word.png]<https://www.dropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0>

R code voor forrest en funnel
plots.rtf<https://www.dropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0>
www.dropbox.com
Shared with Dropbox






	[[alternative HTML version deleted]]

hi Jay,
Consult a local statistician. Statistics is not you think is (namely  
simple computations, R and probably plotting..).

regards,
vito



Jay Zola <jayjay.1988 at hotmail.nl> ha scritto:
> Hello,
>
>
> I am medical student, writing a meta-analysis on complication and  
> reoperation rates after the five most common treatments of distal  
> radius fractures. I have been busy with the statistics for months by  
> my self, but find it quite hard since our classes were very basic.  
> Now I want to compare the treatment modalities to see if there are  
> significant differences. Using R I was able to synthesize the  
> complication rates and reoperation rates for each treatment method.  
> But I never had any R course and managed by trial and error, so the  
> code probably doesn't look that great. Someone told me I could best  
> model the data in one analysis using treatment as a five level  
> moderator in a meta-regression. Can some help me with the R code to  
> do this? Your help would be very much appreciated.
>
>
> Thank you,
>
>
> Jay
>
>
> Study| Event Type| Treatment| Number of Events (n)| N| n/N|
>
> Kumaravel| Complications| EF| 3| 23| 0,1304348|
>
> Franck| Complications| EF| 2| 20| 0,1|
>
> Schonnemann| Complications| EF| 8| 30| 0,2666667|
>
> Aita| Complications| EF| 1| 16| 0,0625|
>
> Hove| Complications| EF| 31| 39| 0,7948718|
>
> Andersen| Complications| EF| 26| 75| 0,3466667|
>
> Krughaug| Complications| EF| 22| 75| 0,2933333|
>
> Moroni| Complications| EF| 0| 20| 0|
>
> Plate| Complications| IMN| 3| 30| 0,1|
>
> Chappuis| Complications| IMN| 4| 16| 0,25|
>
> Gradl| Complications| IMN| 12| 66| 0,1818182|
>
> Schonnemann| Complications| IMN| 6| 31| 0,1935484|
>
> Aita| Complications| IMN| 1| 16| 0,0625|
>
> Dremstrop| Complications| IMN| 17| 44| 0,3863636|
>
> Wong| Complications| PC| 1| 30| 0,0333333|
>
> Kumaravel| Complications| PC| 4| 25| 0,16|
>
>
> Dataset on my dropbox:  
>
https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fj1urqzr99bt76ip%2FBasics%2520excel%2520file%2520complication%2520and%2520reoperation%2520rate.xlsx%3Fdl%3D0&e=541e9c83&h=065e9ef9&f=y
>
> Basics excel file complication and reoperation  
>
rate.xlsx<https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fj1urqzr99bt76ip%2FBasics%2520excel%2520file%2520complication%2520and%2520reoperation%2520rate.xlsx%3Fdl%3D0&e=541e9c83&h=065e9ef9&f=y>
>
https://urlsand.esvalabs.com/?u=http%3A%2F%2Fwww.dropbox.com&e=541e9c83&h=4bc36151&f=y
> Shared with Dropbox
>
>
>
>
> library(meta)
> library(stargazer)
> library(foreign)
>
> All <-read.spss("C:\\Users\\313635aa.STUDENT\\Desktop\\Meta-Analyse
> Complications and Reoperations.sav",to.data.frame = T,  
> use.value.labels = T)
> All <- na.omit(All)
>
> Complications <- All[which(All[,"Event_Type"] ==
"Complications"),]
> Re_operation <- All[which(All[,"Event_Type"] ==
"Reoperations"),]
>
> EF <- All[which(All[,"Treatment"] == "EF"),]
> IMN <- All[which(All[,"Treatment"] == "IMN"),]
> pc <- All[which(All[,"Treatment"] == "PC"),]
> KW <- All[which(All[,"Treatment"] == "KW"),]
> VPO <- All[which(All[,"Treatment"] == "VPO"),]
>
> EF_C <- EF[which(EF[,"Event_Type"] ==
"Complications"),]
> EF_R <- EF[which(EF[,"Event_Type"] ==
"Reoperations"),]
>
> IMN_C <- IMN[which(IMN[,"Event_Type"] ==
"Complications"),]
> IMN_R <- IMN[which(IMN[,"Event_Type"] ==
"Reoperations"),]
>
> pc_C <- pc[which(pc[,"Event_Type"] ==
"Complications"),]
> pc_R <- pc[which(pc[,"Event_Type"] ==
"Reoperations"),]
>
> KW_C <- KW[which(KW[,"Event_Type"] ==
"Complications"),]
> KW_R <- KW[which(KW[,"Event_Type"] ==
"Reoperations"),]
>
> VPO_C <- VPO[which(VPO[,"Event_Type"] ==
"Complications"),]
> VPO_R <- VPO[which(VPO[,"Event_Type"] ==
"Reoperations"),]
>
> Output <- function(x, y, k.min=10){
> file <- metaprop(Events_n, N, Study_ID, data = x)
>
> forest.meta(file, studlab = T, pooled.totals = T, bysort = F)
>
> dev.copy2pdf(file=y, width = 11.69, height = 8.27)
> print(file)
> }
>
> R code on my dropbox:  
>
https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2F67pnfpi10qu110v%2FR%2520code%2520voor%2520forrest%2520en%2520funnel%2520plots.rtf%3Fdl%3D0&e=541e9c83&h=1df77562&f=y
>
>
[https://urlsand.esvalabs.com/?u=https%3A%2F%2Fcfl.dropboxstatic.com%2Fstatic%2Fimages%2Ficons128%2Fpage_white_word.png&e=541e9c83&h=b0ed7c54&f=y]<https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2F67pnfpi10qu110v%2FR%2520code%2520voor%2520forrest%2520en%2520funnel%2520plots.rtf%3Fdl%3D0&e=541e9c83&h=1df77562&f=y>
>
> R code voor forrest en funnel  
>
plots.rtf<https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2F67pnfpi10qu110v%2FR%2520code%2520voor%2520forrest%2520en%2520funnel%2520plots.rtf%3Fdl%3D0&e=541e9c83&h=1df77562&f=y>
>
https://urlsand.esvalabs.com/?u=http%3A%2F%2Fwww.dropbox.com&e=541e9c83&h=4bc36151&f=y
> Shared with Dropbox
>
>
>
>
>
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>
https://urlsand.esvalabs.com/?u=https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-help&e=541e9c83&h=16efca0d&f=y
> PLEASE do read the posting guide  
>
https://urlsand.esvalabs.com/?u=http%3A%2F%2Fwww.R-project.org%2Fposting-guide.html&e=541e9c83&h=0c678195&f=y
> and provide commented, minimal, self-contained, reproducible code.

Dear Vito,

Thank you for your reply. I tried to contact the statistics departement numerous
times, but did not receive any reply. That is why I started to look on the
internet for help.

Yours sincerely,

Jay

Verstuurd vanaf mijn iPhone
> Op 26 jun. 2017 om 22:05 heeft Vito Michele Rosario Muggeo <vito.muggeo
at unipa.it> het volgende geschreven:
> 
> hi Jay,
> Consult a local statistician. Statistics is not you think is (namely simple
computations, R and probably plotting..).
> 
> regards,
> vito
> 
> 
> 
> Jay Zola <jayjay.1988 at hotmail.nl> ha scritto:
> 
>> Hello,
>> 
>> 
>> I am medical student, writing a meta-analysis on complication and
reoperation rates after the five most common treatments of distal radius
fractures. I have been busy with the statistics for months by my self, but find
it quite hard since our classes were very basic. Now I want to compare the
treatment modalities to see if there are significant differences. Using R I was
able to synthesize the complication rates and reoperation rates for each
treatment method. But I never had any R course and managed by trial and error,
so the code probably doesn't look that great. Someone told me I could best
model the data in one analysis using treatment as a five level moderator in a
meta-regression. Can some help me with the R code to do this? Your help would be
very much appreciated.
>> 
>> 
>> Thank you,
>> 
>> 
>> Jay
>> 
>> 
>> Study| Event Type| Treatment| Number of Events (n)| N| n/N|
>> 
>> Kumaravel| Complications| EF| 3| 23| 0,1304348|
>> 
>> Franck| Complications| EF| 2| 20| 0,1|
>> 
>> Schonnemann| Complications| EF| 8| 30| 0,2666667|
>> 
>> Aita| Complications| EF| 1| 16| 0,0625|
>> 
>> Hove| Complications| EF| 31| 39| 0,7948718|
>> 
>> Andersen| Complications| EF| 26| 75| 0,3466667|
>> 
>> Krughaug| Complications| EF| 22| 75| 0,2933333|
>> 
>> Moroni| Complications| EF| 0| 20| 0|
>> 
>> Plate| Complications| IMN| 3| 30| 0,1|
>> 
>> Chappuis| Complications| IMN| 4| 16| 0,25|
>> 
>> Gradl| Complications| IMN| 12| 66| 0,1818182|
>> 
>> Schonnemann| Complications| IMN| 6| 31| 0,1935484|
>> 
>> Aita| Complications| IMN| 1| 16| 0,0625|
>> 
>> Dremstrop| Complications| IMN| 17| 44| 0,3863636|
>> 
>> Wong| Complications| PC| 1| 30| 0,0333333|
>> 
>> Kumaravel| Complications| PC| 4| 25| 0,16|
>> 
>> 
>> Dataset on my dropbox:
https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fj1urqzr99bt76ip%2FBasics%2520excel%2520file%2520complication%2520and%2520reoperation%2520rate.xlsx%3Fdl%3D0&e=541e9c83&h=065e9ef9&f=y
>> 
>> Basics excel file complication and reoperation
rate.xlsx<https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fj1urqzr99bt76ip%2FBasics%2520excel%2520file%2520complication%2520and%2520reoperation%2520rate.xlsx%3Fdl%3D0&e=541e9c83&h=065e9ef9&f=y>
>>
https://urlsand.esvalabs.com/?u=http%3A%2F%2Fwww.dropbox.com&e=541e9c83&h=4bc36151&f=y
>> Shared with Dropbox
>> 
>> 
>> 
>> 
>> library(meta)
>> library(stargazer)
>> library(foreign)
>> 
>> All
<-read.spss("C:\\Users\\313635aa.STUDENT\\Desktop\\Meta-Analyse
Complications and Reoperations.sav",to.data.frame = T, use.value.labels =
T)
>> All <- na.omit(All)
>> 
>> Complications <- All[which(All[,"Event_Type"] ==
"Complications"),]
>> Re_operation <- All[which(All[,"Event_Type"] ==
"Reoperations"),]
>> 
>> EF <- All[which(All[,"Treatment"] == "EF"),]
>> IMN <- All[which(All[,"Treatment"] == "IMN"),]
>> pc <- All[which(All[,"Treatment"] == "PC"),]
>> KW <- All[which(All[,"Treatment"] == "KW"),]
>> VPO <- All[which(All[,"Treatment"] == "VPO"),]
>> 
>> EF_C <- EF[which(EF[,"Event_Type"] ==
"Complications"),]
>> EF_R <- EF[which(EF[,"Event_Type"] ==
"Reoperations"),]
>> 
>> IMN_C <- IMN[which(IMN[,"Event_Type"] ==
"Complications"),]
>> IMN_R <- IMN[which(IMN[,"Event_Type"] ==
"Reoperations"),]
>> 
>> pc_C <- pc[which(pc[,"Event_Type"] ==
"Complications"),]
>> pc_R <- pc[which(pc[,"Event_Type"] ==
"Reoperations"),]
>> 
>> KW_C <- KW[which(KW[,"Event_Type"] ==
"Complications"),]
>> KW_R <- KW[which(KW[,"Event_Type"] ==
"Reoperations"),]
>> 
>> VPO_C <- VPO[which(VPO[,"Event_Type"] ==
"Complications"),]
>> VPO_R <- VPO[which(VPO[,"Event_Type"] ==
"Reoperations"),]
>> 
>> Output <- function(x, y, k.min=10){
>> file <- metaprop(Events_n, N, Study_ID, data = x)
>> 
>> forest.meta(file, studlab = T, pooled.totals = T, bysort = F)
>> 
>> dev.copy2pdf(file=y, width = 11.69, height = 8.27)
>> print(file)
>> }
>> 
>> R code on my dropbox:
https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2F67pnfpi10qu110v%2FR%2520code%2520voor%2520forrest%2520en%2520funnel%2520plots.rtf%3Fdl%3D0&e=541e9c83&h=1df77562&f=y
>> 
>>
[https://urlsand.esvalabs.com/?u=https%3A%2F%2Fcfl.dropboxstatic.com%2Fstatic%2Fimages%2Ficons128%2Fpage_white_word.png&e=541e9c83&h=b0ed7c54&f=y]<https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2F67pnfpi10qu110v%2FR%2520code%2520voor%2520forrest%2520en%2520funnel%2520plots.rtf%3Fdl%3D0&e=541e9c83&h=1df77562&f=y>
>> 
>> R code voor forrest en funnel
plots.rtf<https://urlsand.esvalabs.com/?u=https%3A%2F%2Fwww.dropbox.com%2Fs%2F67pnfpi10qu110v%2FR%2520code%2520voor%2520forrest%2520en%2520funnel%2520plots.rtf%3Fdl%3D0&e=541e9c83&h=1df77562&f=y>
>>
https://urlsand.esvalabs.com/?u=http%3A%2F%2Fwww.dropbox.com&e=541e9c83&h=4bc36151&f=y
>> Shared with Dropbox
>> 
>> 
>> 
>> 
>> 
>> 
>>    [[alternative HTML version deleted]]
>> 
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>
https://urlsand.esvalabs.com/?u=https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-help&e=541e9c83&h=16efca0d&f=y
>> PLEASE do read the posting guide
https://urlsand.esvalabs.com/?u=http%3A%2F%2Fwww.R-project.org%2Fposting-guide.html&e=541e9c83&h=0c678195&f=y
>> and provide commented, minimal, self-contained, reproducible code.
> 
> 
>

Dear Jay

I am not that familiar with the meta package but it looks as though it 
does not allow you to do a meta-regression within metaprop. However 
there is a function metareg which takes the object you created with 
metaprop and allows you to add a moderator so i would try that next. By 
moderator in this case I mean your variable Treatment.

On 26/06/2017 19:19, Jay Zola wrote:
> Hello,
>
>
> I am medical student, writing a meta-analysis on complication and
reoperation rates after the five most common treatments of distal radius
fractures. I have been busy with the statistics for months by my self, but find
it quite hard since our classes were very basic. Now I want to compare the
treatment modalities to see if there are significant differences. Using R I was
able to synthesize the complication rates and reoperation rates for each
treatment method. But I never had any R course and managed by trial and error,
so the code probably doesn't look that great. Someone told me I could best
model the data in one analysis using treatment as a five level moderator in a
meta-regression. Can some help me with the R code to do this? Your help would be
very much appreciated.
>
>
> Thank you,
>
>
> Jay
>
>
> Study| Event Type| Treatment| Number of Events (n)| N| n/N|
>
> Kumaravel| Complications| EF| 3| 23| 0,1304348|
>
> Franck| Complications| EF| 2| 20| 0,1|
>
> Schonnemann| Complications| EF| 8| 30| 0,2666667|
>
> Aita| Complications| EF| 1| 16| 0,0625|
>
> Hove| Complications| EF| 31| 39| 0,7948718|
>
> Andersen| Complications| EF| 26| 75| 0,3466667|
>
> Krughaug| Complications| EF| 22| 75| 0,2933333|
>
> Moroni| Complications| EF| 0| 20| 0|
>
> Plate| Complications| IMN| 3| 30| 0,1|
>
> Chappuis| Complications| IMN| 4| 16| 0,25|
>
> Gradl| Complications| IMN| 12| 66| 0,1818182|
>
> Schonnemann| Complications| IMN| 6| 31| 0,1935484|
>
> Aita| Complications| IMN| 1| 16| 0,0625|
>
> Dremstrop| Complications| IMN| 17| 44| 0,3863636|
>
> Wong| Complications| PC| 1| 30| 0,0333333|
>
> Kumaravel| Complications| PC| 4| 25| 0,16|
>
>
> Dataset on my dropbox:
https://www.dropbox.com/s/j1urqzr99bt76ip/Basics%20excel%20file%20complication%20and%20reoperation%20rate.xlsx?dl=0
>
> Basics excel file complication and reoperation
rate.xlsx<https://www.dropbox.com/s/j1urqzr99bt76ip/Basics%20excel%20file%20complication%20and%20reoperation%20rate.xlsx?dl=0>
> www.dropbox.com
> Shared with Dropbox
>
>
>
>
> library(meta)
> library(stargazer)
> library(foreign)
>
> All <-read.spss("C:\\Users\\313635aa.STUDENT\\Desktop\\Meta-Analyse
Complications and Reoperations.sav",to.data.frame = T, use.value.labels =
T)
> All <- na.omit(All)
>
> Complications <- All[which(All[,"Event_Type"] ==
"Complications"),]
> Re_operation <- All[which(All[,"Event_Type"] ==
"Reoperations"),]
>
> EF <- All[which(All[,"Treatment"] == "EF"),]
> IMN <- All[which(All[,"Treatment"] == "IMN"),]
> pc <- All[which(All[,"Treatment"] == "PC"),]
> KW <- All[which(All[,"Treatment"] == "KW"),]
> VPO <- All[which(All[,"Treatment"] == "VPO"),]
>
> EF_C <- EF[which(EF[,"Event_Type"] ==
"Complications"),]
> EF_R <- EF[which(EF[,"Event_Type"] ==
"Reoperations"),]
>
> IMN_C <- IMN[which(IMN[,"Event_Type"] ==
"Complications"),]
> IMN_R <- IMN[which(IMN[,"Event_Type"] ==
"Reoperations"),]
>
> pc_C <- pc[which(pc[,"Event_Type"] ==
"Complications"),]
> pc_R <- pc[which(pc[,"Event_Type"] ==
"Reoperations"),]
>
> KW_C <- KW[which(KW[,"Event_Type"] ==
"Complications"),]
> KW_R <- KW[which(KW[,"Event_Type"] ==
"Reoperations"),]
>
> VPO_C <- VPO[which(VPO[,"Event_Type"] ==
"Complications"),]
> VPO_R <- VPO[which(VPO[,"Event_Type"] ==
"Reoperations"),]
>
> Output <- function(x, y, k.min=10){
> file <- metaprop(Events_n, N, Study_ID, data = x)
>
> forest.meta(file, studlab = T, pooled.totals = T, bysort = F)
>
> dev.copy2pdf(file=y, width = 11.69, height = 8.27)
> print(file)
> }
>
> R code on my dropbox:
https://www.dropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0
>
>
[https://cfl.dropboxstatic.com/static/images/icons128/page_white_word.png]<https://www.dropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0>
>
> R code voor forrest en funnel
plots.rtf<https://www.dropbox.com/s/67pnfpi10qu110v/R%20code%20voor%20forrest%20en%20funnel%20plots.rtf?dl=0>
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Michael
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