R help - Sep 2017 - comparition of occurrence of multiple variables between two dataframes

Hi everyone, I need your help to solve a problem with occurrence and two
dataframes.
I have an excel table of 15200 lines. Each line correspond to a tree analyzed
for its structures. I have all the structures in columns (48 structures). The
occurrence of these structures has been counted on every tree. For example, the
tree 12607 has 3 structures CV11, 1 structure IN12 and none (0) of the rest of
all the other structures. The very last column is the value given to the tree,
according to the structures found on it (each structure giving a number of point
to the tree by its presence on it).
The question is: Are there some structures, or combination of structures, which
give a high value to the tree?? Of course, according to the value of each
structure, we can see which one has a higher value than the others (ex:
structure CV11 has a value of 15, structure IN12 has a value of 4). But what I
want to know is, if we take all the trees having a final value higher than 100
(we create a new dataframe "data100"), and we compare with the trees
having a final value under 100 (we create another dataframe "data0"),
can we find a significant difference in the number and occurrence of structures
found on these trees? And which structure is related to trees with a higher
value than 100??
For now, I have only a visual answer to the question. I did two boxplot of the
data100 and data0, and I have seen some diff?rences?: 2 structures are only
found in the data100, which can be caracteristic of a final value higher than
100. The problem is that I?m looking for a test to prove this.
If you have any idea or proposition for solving this problem.. it will be great!
Best wishes,
C.


Gesendet von Mail f?r Windows 10


	[[alternative HTML version deleted]]

Do you have a simplified example with a code? It is not clear to me
what do you mean by tree but if you refer to tree data structure,
maybe you could change the data structure to tree
(https://cran.r-project.org/web/packages/data.tree/vignettes/data.tree.html)
and try to write comparison of two tree objects. It might be easier
that data.frame alone.

On 12 September 2017 at 12:27, C?line L?scher <c-luescher at hispeed.ch>
wrote:
> Hi everyone, I need your help to solve a problem with occurrence and two
dataframes.
> I have an excel table of 15200 lines. Each line correspond to a tree
analyzed for its structures. I have all the structures in columns (48
structures). The occurrence of these structures has been counted on every tree.
For example, the tree 12607 has 3 structures CV11, 1 structure IN12 and none (0)
of the rest of all the other structures. The very last column is the value given
to the tree, according to the structures found on it (each structure giving a
number of point to the tree by its presence on it).
> The question is: Are there some structures, or combination of structures,
which give a high value to the tree ? Of course, according to the value of each
structure, we can see which one has a higher value than the others (ex:
structure CV11 has a value of 15, structure IN12 has a value of 4). But what I
want to know is, if we take all the trees having a final value higher than 100
(we create a new dataframe "data100"), and we compare with the trees
having a final value under 100 (we create another dataframe "data0"),
can we find a significant difference in the number and occurrence of structures
found on these trees? And which structure is related to trees with a higher
value than 100 ?
> For now, I have only a visual answer to the question. I did two boxplot of
the data100 and data0, and I have seen some diff?rences : 2 structures are only
found in the data100, which can be caracteristic of a final value higher than
100. The problem is that I?m looking for a test to prove this.
> If you have any idea or proposition for solving this problem.. it will be
great!
> Best wishes,
> C.
>
>
> Gesendet von Mail f?r Windows 10
>
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

Yes of course, I can share this short view of the datas.

Here is the head() of data100, containing all the trees with a final value
higher than 100?:

CV11
CV12
CV13
CV14
CV15
CV21
CV22
CV23
CV24
CV25
CV26
CV31
CV32
CV33
CV41
CV42
CV43
CV44
CV51
CV52
IN11
IN12
IN13
1291
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1083
0
4
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3919
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
14685
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
4021
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
5452
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

IN14
IN21
IN22
IN23
IN31
IN32
IN33
IN34
BA11
BA12
BA21
DE11
DE12
DE13
DE14
DE15
GR11
GR12
GR13
GR21
GR22
GR31
GR32
1291
0
0
0
0
0
0
0
0
30
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1083
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3919
0
0
1
0
2
0
0
0
2
0
0
0
3
0
0
0
0
0
0
11
0
0
0
14685
0
0
0
0
0
0
0
0
11
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4021
0
0
0
0
0
0
0
0
11
0
0
0
0
0
0
0
0
0
0
0
0
0
0
5452
0
0
1
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0

EP11
EP12
EP13
EP14
EP21
EP31
EP32
EP33
EP34
EP35
NE11
NE12
NE21
OT11
OT12
OT21
OT22
ecoval





1291
0
8
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1192





1083
0
8
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
424





3919
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
380





14685
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
370





4021
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
358





5452
0
0
0
0
0
0
1
0
0
11
0
0
0
0
1
0
0
356






The columns are the possible structures found on a tree (cavity, scar?)

And the same for the data0?:

CV11
CV12
CV13
CV14
CV15
CV21
CV22
CV23
CV24
CV25
CV26
CV31
CV32
CV33
CV41
CV42
CV43
CV44
CV51
CV52
IN11
IN12
IN13
4728
0
0
0
1
0
0
0
3
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
5339
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
11766
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
796
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3561
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
10581
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0

IN14
IN21
IN22
IN23
IN31
IN32
IN33
IN34
BA11
BA12
BA21
DE11
DE12
DE13
DE14
DE15
GR11
GR12
GR13
GR21
GR22
GR31
GR32
4728
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
5339
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
11766
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
796
1
1
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3561
0
0
0
0
0
0
0
0
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
10581
0
0
0
1
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0

EP11
EP12
EP13
EP14
EP21
EP31
EP32
EP33
EP34
EP35
NE11
NE12
NE21
OT11
OT12
OT21
OT22
ecoval





4728
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
0
99





5339
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
99





11766
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
99





796
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
98





3561
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
98





10581
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
98







In short, the question is about to find a test to compare the occurrence of the
structures between the group higher than 100 and the group under 100.

Thank you for your help,
C.



Gesendet von Mail f?r Windows 10

Von: Suzen, Mehmet
Gesendet: mardi, 12 septembre 2017 13:24
An: C?line L?scher
Cc: r-help at r-project.org
Betreff: Re: [R] comparition of occurrence of multiple variables between two
dataframes

Do you have a simplified example with a code? It is not clear to me
what do you mean by tree but if you refer to tree data structure,
maybe you could change the data structure to tree
(https://cran.r-project.org/web/packages/data.tree/vignettes/data.tree.html)
and try to write comparison of two tree objects. It might be easier
that data.frame alone.

On 12 September 2017 at 12:27, C?line L?scher <c-luescher at hispeed.ch>
wrote:
> Hi everyone, I need your help to solve a problem with occurrence and two
dataframes.
> I have an excel table of 15200 lines. Each line correspond to a tree
analyzed for its structures. I have all the structures in columns (48
structures). The occurrence of these structures has been counted on every tree.
For example, the tree 12607 has 3 structures CV11, 1 structure IN12 and none (0)
of the rest of all the other structures. The very last column is the value given
to the tree, according to the structures found on it (each structure giving a
number of point to the tree by its presence on it).
> The question is: Are there some structures, or combination of structures,
which give a high value to the tree ? Of course, according to the value of each
structure, we can see which one has a higher value than the others (ex:
structure CV11 has a value of 15, structure IN12 has a value of 4). But what I
want to know is, if we take all the trees having a final value higher than 100
(we create a new dataframe "data100"), and we compare with the trees
having a final value under 100 (we create another dataframe "data0"),
can we find a significant difference in the number and occurrence of structures
found on these trees? And which structure is related to trees with a higher
value than 100 ?
> For now, I have only a visual answer to the question. I did two boxplot of
the data100 and data0, and I have seen some diff?rences : 2 structures are only
found in the data100, which can be caracteristic of a final value higher than
100. The problem is that I?m looking for a test to prove this.
> If you have any idea or proposition for solving this problem.. it will be
great!
> Best wishes,
> C.
>
>
> Gesendet von Mail f?r Windows 10
>
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

	[[alternative HTML version deleted]]