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Separating three dimensional array by the stratifying variable


Separating three dimensional array by the stratifying variable

By : Jay
Date : November 20 2020, 11:01 PM
I wish did fix the issue. Oh, sorry I misread your question. You are not looking for converting this into a data frame but for splitting.
You may use:
code :
setNames(lapply(1:dim(UCBAdmissions)[3], function (i) UCBAdmissions[,,i]),
         dimnames(UCBAdmissions)[[3]])

#A
#          Gender
#Admit      Male Female
#  Admitted  512     89
#  Rejected  313     19
#
#$B
#          Gender
#Admit      Male Female
#  Admitted  353     17
#  Rejected  207      8
# 
#$C
#          Gender
#Admit      Male Female
#  Admitted  120    202
#  Rejected  205    391
# 
#$D
#          Gender
#Admit      Male Female
#  Admitted  138    131
#  Rejected  279    244
# 
#$E
#          Gender
#Admit      Male Female
#  Admitted   53     94
#  Rejected  138    299
# 
#$F
#          Gender
#Admit      Male Female
#  Admitted   22     24
#  Rejected  351    317


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Separating Delimited Variable into array elements in VB.NET

Separating Delimited Variable into array elements in VB.NET


By : Relentlessyolo
Date : March 29 2020, 07:55 AM
Hope this helps Please refer to the code below and the associated comments. Also I have comment out some code which I feel is not required based on what you want to do.
code :
Dim strArr() As String = g.Split("$")  'This variable is empty
        For count = 0 To strArr.Length - 1
            Dim arr() As String = strArr(count).Split("\") ' Split returns an array

            Dim strval As String = ""
            For i As Integer = 3 To arr.Length - 1
                'strval = arr(i)
                Dim j As Integer = arr.Length - 1
                strval = arr(j)
                'Dim result As String = strval.Substring(g.Length - 5)
                'result = g.Substring(g.LastIndexOf("\") + 1)
                ListBox1.Items.Add(strval)
            Next
        Next
How does an N dimensional array with c-dimensional objects perform differently from an N dimensional array with C object

How does an N dimensional array with c-dimensional objects perform differently from an N dimensional array with C object


By : F.Society
Date : March 29 2020, 07:55 AM
I hope this helps you . The article seems to point out different ways to represent matrix data structures and the performance gains of a single array representation, although it doesn't really explain why you get the performance gains.
For example, to represent a NxNxN matrix:
code :
Cell {
   int x,y,z;
}
Matrix {
   int size = 10;
   Cell[] cells = new Cell[size];
}
Matrix {
    int size = 10;
    int[][][] data = new int[size][size][size];
}
Matrx {
    int size = 10;
    int[] data = new int[size*size*size];
}
Determining the number of non-zero cells and calculating the prevalence by a stratifying variable

Determining the number of non-zero cells and calculating the prevalence by a stratifying variable


By : user3340894
Date : March 29 2020, 07:55 AM
I wish this helpful for you I have spent a good deal of time looking around and cannot find a solution to my specific question. I would really appreciate any help. , Here's a dplyr answer:
code :
SampleDF %>%
    group_by(TimePoint) %>%
    summarise_each(funs(sum(. != 0) / length(.)))

#   TimePoint Corynebacterium Paenibacillus Psychrobacter Staphylocccus
# 1         A             0.5           0.0           1.0           1.0
# 2         B             0.5           0.5           1.0           0.0
# 3         C             0.5           0.5           0.5           1.0
# 4         D             0.5           1.0           0.5           0.5
# 5         E             0.5           1.0           0.5           1.0
# 6         F             0.0           0.5           0.0           1.0
aggregate(. ~ TimePoint, data=SampleDF, function(x) sum(x != 0) / length(x))
Taking Table and Stratifying by Chosen Variable

Taking Table and Stratifying by Chosen Variable


By : user3276117
Date : March 29 2020, 07:55 AM
it should still fix some issue You could use pivot_wider from the new tidyr which can take multiple values_from argument
code :
tidyr::pivot_wider(df, names_from = Gender, 
                       values_from = matches("Admitted$|Rejected"))

# A tibble: 6 x 9
#  Dept  Admitted_Female Admitted_Male Rejected_Female Rejected_Male
#  <fct>           <int>         <int>           <int>         <int>
#1 A                  89           512              19           313
#2 B                  17           353               8           207
#3 C                 202           120             391           205
#4 D                 131           138             244           279
#5 E                  94            53             299           138
#6 F                  24            22             317           351
# … with 4 more variables: Prop_Admitted_Female <dbl>,Prop_Admitted_Male <dbl>,
#   Prop_Rejected_Female <dbl>,Prop_Rejected_Male <dbl>
df %>%
   gather(key, value, -Gender, -Dept) %>%
   unite(key, Gender, key) %>%
   spread(key, value)
df <- ucb %>%
        group_by(Admit, Gender, n, Dept) %>%
        spread(key = Admit, value = n) %>%
        mutate(Prop_Admitted = Admitted / (Admitted + Rejected), 
               Prop_Rejected = Rejected / (Admitted + Rejected))
How to create single dimensional, two dimensional,three dimensional as well as multi dimensional array using C#?

How to create single dimensional, two dimensional,three dimensional as well as multi dimensional array using C#?


By : Bilal Bhatti
Date : March 29 2020, 07:55 AM
this one helps. If you're used to something like Java then multidimensional arrays are a little different in syntax in C#.
Here's a page describing how to do them in C#. Here's a snippet from said page:
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