Displaying 16 results from an estimated 16 matches for "pdiff".
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2023 Mar 13
1
Updating samba version 4.17.5 to version 4.17.6 from Debian backports - armel architecture
...p.uk.debian.org/debian bullseye-backports/main armel Packages.diff/Index [63.3 kB]
Get:6 http://ftp.uk.debian.org/debian bullseye-backports/main Translation-en.diff/Index [63.3 kB]
Get:7 http://ftp.uk.debian.org/debian bullseye-backports/main armel Packages T-2023-03-12-2003.15-F-2023-02-25-2002.50.pdiff [47.1 kB]
Get:8 http://www.corpit.ru/mjt/packages/samba bullseye/samba-4.17/ Packages [54.3 kB]
Get:7 http://ftp.uk.debian.org/debian bullseye-backports/main armel Packages T-2023-03-12-2003.15-F-2023-02-25-2002.50.pdiff [47.1 kB]
Get:9 http://ftp.uk.debian.org/debian bullseye-backports/main Transl...
2011 Oct 20
1
p-val issue for ranked two-group test
...for how to resample where sample the entire combined data without
replacment
p.mange<-mean(x[(1:l.mange)]) #create a simulate mean value for the
resampled mange values
p.healthy<-mean(x[(l.mange+1):(l.mange+l.healthy)]) #create a
simulated mean value for the resampled healthy values
pdiff<- p.mange-p.healthy #the simulated difference between groups
z[i]<- pdiff #the stored list of simulated differences
}
p=mean(z>=exptdiff)*2 #2-tailed test multiply by two
p
hist(z, xlab="Resample Values", main="Distribution for Two-Group BUN Test")
confints=quantile(...
2017 Sep 29
5
Converting SAS Code
...p Management Foliar_Fungicide Chemical_Treatment;
model Grain_Yield__Mg_h_ =Management|Foliar_Fungicide|Chemical_Treatment
Final_Stand__Plants_A_ / outpred=resids residual ddfm=kr;
random rep rep*Management rep*Management*Foliar_Fungicide;
lsmeans Management|Foliar_Fungicide|Chemical_Treatment / pdiff;
ods output diffs=ppp lsmeans=means;
ods listing exclude diffs lsmeans;
run; quit;
%include'C:\Users\harmon12\Desktop\pdmix800.sas';
%pdmix800(ppp,means,alpha=0.10,sort=yes);
ods graphics off;
run; quit;
proc univariate data=resids normal plot; id Barcode Grain_Yield__Mg_h_
pearsonr...
2007 Feb 24
0
Multiple comparisons when interacction]
...ock design.
The SAS code follows:
options ls=95;
data uno;
infile 'data.txt' delimiter=';' firstobs=2;
input year plot block treat yield;
run;
proc mixed data=uno;
class treat year block;
model yield=block year treat treat*year;
lsmeans year treat /pdiff;
lsmeans treat*year /slice=year pdiff;
ods output diffs=dos;
run;
data tres;
set dos;
if year=_year;
proc print data=tres;
var year _year treat _treat estimate stderr df tvalue probt;
run;
Data are attached as a file: data.csv.
In fact, I do not know if this is the be...
2011 Dec 27
1
Longitudinal data
...oduction. There are many missing observations.
Because the data are correlated I used the SAS program:
proc mixed data=univar method=reml;
class RACA GRUPO APELIDO Dias;
model Prod = GRUPO / solution DDFM=BW;
repeated Dias / type=arh(1) subject=APELIDO r rcorr;
lsmeans GRUPO / pdiff adjust=tukey;
run ;
But, I want use R. What would be the equivalent in R?
Thank you.
--------------------------------------
Silvano Cesar da Costa
Departamento de Estat?stica
Universidade Estadual de Londrina
Fone: 3371-4346
2007 Jan 29
3
Multiple comparisons when interacction
In the model:
lm.1 <- lm(variable ~ BLOC + TIL * YEAR , data=selvanera)
I found TIL*YEAR interaction significant. Then I am trying to compare
means of the different levels of TIL inside every YEAR using:
mc.2 <- glht(lm.1, linfct = mcp(TIL*YEAR="Tukey"))
summary(mc.2, test = univariate())
but it does not work.
There is any way of doing this, like the SLICE option in
2018 May 07
0
Comparing figures?
I suggest perceptual diff. You could write a wrapper around it.
http://pdiff.sourceforge.net
On Mon, 7 May 2018 16:49 Ramiro Barrantes, <ramiro at precisionbioassay.com>
wrote:
> Hello,
>
> I am working on tests to compare figures. I have been using ImageMagick,
> which creates a figure signature, and I can compare a "test" figure
> signatu...
2017 Sep 29
4
Converting SAS Code
...gt;> model Grain_Yield__Mg_h_ =Management|Foliar_Fungicide|Chemical_Treatment
>> Final_Stand__Plants_A_ / outpred=resids residual ddfm=kr;
>>
>> random rep rep*Management rep*Management*Foliar_Fungicide;
>>
>> lsmeans Management|Foliar_Fungicide|Chemical_Treatment / pdiff;
>>
>> ods output diffs=ppp lsmeans=means;
>>
>> ods listing exclude diffs lsmeans;
>>
>> run; quit;
>>
>> %include'C:\Users\harmon12\Desktop\pdmix800.sas';
>>
>> %pdmix800(ppp,means,alpha=0.10,sort=yes);
>>
>> ods grap...
2017 Sep 29
0
Converting SAS Code
...cal_Treatment;
>
> model Grain_Yield__Mg_h_ =Management|Foliar_Fungicide|Chemical_Treatment
> Final_Stand__Plants_A_ / outpred=resids residual ddfm=kr;
>
> random rep rep*Management rep*Management*Foliar_Fungicide;
>
> lsmeans Management|Foliar_Fungicide|Chemical_Treatment / pdiff;
>
> ods output diffs=ppp lsmeans=means;
>
> ods listing exclude diffs lsmeans;
>
> run; quit;
>
> %include'C:\Users\harmon12\Desktop\pdmix800.sas';
>
> %pdmix800(ppp,means,alpha=0.10,sort=yes);
>
> ods graphics off;
>
> run; quit;
>
>...
2018 May 07
2
Comparing figures?
Hello,
I am working on tests to compare figures. I have been using ImageMagick, which creates a figure signature, and I can compare a "test" figure signature against a saved "reference" figure signature. It seems to work pretty well. However, it is slow as it requires reading from the file system.
Are there any options to compare figures on memory? For example, if I
2017 Sep 29
0
Converting SAS Code
...Yield__Mg_h_ =Management|Foliar_Fungicide|Chemical_Treatment
>>> Final_Stand__Plants_A_ / outpred=resids residual ddfm=kr;
>>>
>>> random rep rep*Management rep*Management*Foliar_Fungicide;
>>>
>>> lsmeans Management|Foliar_Fungicide|Chemical_Treatment / pdiff;
>>>
>>> ods output diffs=ppp lsmeans=means;
>>>
>>> ods listing exclude diffs lsmeans;
>>>
>>> run; quit;
>>>
>>> %include'C:\Users\harmon12\Desktop\pdmix800.sas';
>>>
>>> %pdmix800(ppp,means,alpha=0....
2004 Apr 20
0
strange result with contrasts
...;- significant
dose100mM-000mM 0.01252061 0.04113846 0.3043529 7.619872e-01
A collegue of mine has run the same data through a SAS program (listed below)
proc glm data = dftest;
class dose time batch;
model value = dose|time|batch;
means dose / dunnett ('000mM');
lsmeans dose /pdiff singular=1;
run;
Giving the following p-values:
Pr(>|t|)
dose010mM-000mM 0.4047
dose025mM-000mM 0.6474
dose050mM-000mM 0.5745 <---
dose100mM-000mM 0.7620
The p-values are the same expect for the one indicated.
A strip...
2017 Sep 29
0
Converting SAS Code
...e Chemical_Treatment;
model Grain_Yield__Mg_h_ =Management|Foliar_Fungicide|Chemical_Treatment
Final_Stand__Plants_A_ / outpred=resids residual ddfm=kr;
random rep rep*Management rep*Management*Foliar_Fungicide;
lsmeans Management|Foliar_Fungicide|Chemical_Treatment / pdiff;
ods output diffs=ppp lsmeans=means;
ods listing exclude diffs lsmeans;
run; quit;
%include'C:\Users\harmon12\Desktop\pdmix800.sas';
%pdmix800(ppp,means,alpha=0.10,sort=yes);
ods graphics off;
run; quit;
proc univariate...
1998 Oct 16
3
mean and sd of each serial position
I want to do something like this in R. If I have three vectors
> a1
[1] 1 2 3
> a2
[1] 4 5 6
> a3
[1] 9 10 7
I want to compute
1. A vector that is the mean at each serial position of a1, a2, and a3.
so in this example it would have the contents
4.667, 5.667, 5.333333
2. A vector that is the SD at each serial position of a1, a2, and a3.
so in this example it would have the contents
2017 Sep 29
2
Converting SAS Code
...ield__Mg_h_
=Management|Foliar_Fungicide|Chemical_Treatment
>>> Final_Stand__Plants_A_ / outpred=resids residual ddfm=kr;
>>>
>>> random rep rep*Management rep*Management*Foliar_Fungicide;
>>>
>>> lsmeans Management|Foliar_Fungicide|Chemical_Treatment / pdiff;
>>>
>>> ods output diffs=ppp lsmeans=means;
>>>
>>> ods listing exclude diffs lsmeans;
>>>
>>> run; quit;
>>>
>>> %include'C:\Users\harmon12\Desktop\pdmix800.sas';
>>>
>>> %pdmix800(ppp,means,alpha=0....
2012 Oct 30
4
There is pmin and pmax each taking na.rm, how about psum?
Hi,
Please consider the following :
x = c(1,3,NA,5)
y = c(2,NA,4,1)
min(x,y,na.rm=TRUE) # ok
[1] 1
max(x,y,na.rm=TRUE) # ok
[1] 5
sum(x,y,na.rm=TRUE) # ok
[1] 16
pmin(x,y,na.rm=TRUE) # ok
[1] 1 3 4 1
pmax(x,y,na.rm=TRUE) # ok
[1] 2 3 4 5
psum(x,y,na.rm=TRUE)
[1] 3 3 4 6 # expected result
Error: could not find function "psum" # actual result