daisy is a function from the cluster package, calculating all the pairwise dissimilarities (distances) between observations in the data set.
Questions tagged [r-daisy]
39 questions
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Table is distorted while comparing HTML data using daisydiff.jar
Left side table is distorted while comparing two HTML table data using daisydiff.jar.
I need your support to fix this issue. Thanks in advance
Using below code
StringWriter finalResult = new StringWriter();
SAXTransformerFactory tf =…

Praveen
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1 answer
How to create a dissimilarity matrix with daisy function in R?
I want to perform a cluster analysis with the pam function in R, using daisy to create a dissimilarity matrix. My data contains 2 columns (ID and Disease). Both are factors with a lot of values (400 and 1800 respectively). How can I create the…

Joep_S
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warning in daisy function in R
I have used the daisy function to calculate the distance, but it encounters the following warning:
In cluster::daisy(mixusefull2) :binary variable(s) 6 treated as interval
scaled
My data and their types are as…

maria
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Elbow method using hclus.scree, error could not find function
I have found several documents that use function "hclus.scree" to use the elbow method to identify number of clusters. However, R cannot find the hclus.scree function. Is this a version of R thing? I have tried multiple libraries, but maybe I am…

Shana
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1 answer
Cluster analysis with daisy
I'm trying to perform a Hierarchical cluster analysis with RStudio, by using the package daisy. This is my dataset:
data.frame':341 obs. of 28 variables:
$ Impo_Env : Ord.factor w/ 3 levels "Low"<"Med"<"High": 3 2 3 2 3 2 3 3 2 3 ...
$…

user8780
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1 answer
Hierarchical Cluster using dissimilarity matrix R
I have mixed data type matrix Data_string size (947 x 41) that contain numeric and categorical attributes.
I produced a distance matrix (947 x 947) using the daisy() function and Gower distance measure in Rstudio.
d <- daisy(Data_String, metric =…

user3895291
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Select particular objects/rows from heatmap in R
I have mixed data type that contain numeric and categorical attributes to which I am planning to apply cluster algorithms.
As a first step, I produced a distance matrix using the daisy() function and Gower distance measure. I have displayed the…

user3895291
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1
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1 answer
Bootstrapped tree values differ from PAST
When I compute a bootstrapped tree in R I get different values to when I use PAST (http://folk.uio.no/ohammer/past/). How can I get the output to match from the two programs?
Here's what I'm doing in R (data…

Ben
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Use data.table to execute function over groups and report the results into another data.table
I have the following data.table which contains groups of individuals and some characteristics that describe them
set.seed(1)
library(data.table)
group<-(rep(1:10, sample(50:200, 10, replace=T)))
gender<-factor((sample(0:1, 1328, replace=T,…

Riccardo
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Why { ...arg} are used inside the components of react -daisyUi
Why {...arg} are passed inside the daisyUi component.
All components have internal {...arg} . But what does it do.
return
Another one
Click

Md. Sohag Hossain
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- 3
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0 answers
Facing error while use {...arg} in react-daisyui
Got the code from react-daisyUi.
return
When apply this code inside VS , then I got error for {...arg}.
How to use (...arg) in react daisyUi ?

Md. Sohag Hossain
- 36
- 3
0
votes
1 answer
Speed of Daisy Function
I'm working on improving the speed of a function (for a dissimilarity measure) I'm writing which is quite similar mathematically to the Euclidean distance function. However, when I time my function compared to that implemented in the daisy function…

ayePete
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invalid type character for column using the daisy function in R
gower_dist <- daisy(vechiles[, -1],
metric = "gower",
type = list(logratio = 3))
I'm trying to run this function on my data set, but I keep getting invalid type character for column as an error, it's clear…

yehya farhat
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- 7
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1 answer
cluster::daisy drops labels
I am trying to cluster data using cluster::daisy function and dissimilarity matrix. The data looks as shown below.
> head(score_mat_unique_3)
ID_1 ID_2 Score
1: 1000035849 1000532512 2.49e-60
2: 1000035849 1000682765 3.87e-08
3:…

Arseny Sokolov
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1 answer
How to decide on the clustering method for categorical data in R?
I'm trying to perform a cluster analysis on mixed data (demographics variables + Likert scales from 1 to 10 preferences).
I am trying to apply hierarchical clustering with the function daisy() for mixed data, but when i compute the goodness of fit…

Irau
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