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PAPPSO
metaprotr
Commits
23bdc2ae
Commit
23bdc2ae
authored
May 17, 2021
by
amillan
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documentation updated of version 1.3.0
parent
81c776bf
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DESCRIPTION
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23bdc2ae
Package: metaprotr
Title: Metaproteomics Post-Processing Analysis
Version: 1.3.
1
Version: 1.3.
0
Date: 2021-05-17
Authors@R: c(
person("Aaron", "Millan-Oropeza", email = "aaron.ibt@gmail.com", role = c("aut", "cre")),
...
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inst/documentation/metaprotr_1.
2.2
.pdf
→
inst/documentation/metaprotr_1.
3.0
.pdf
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23bdc2ae
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man/plot_dendocluster.Rd
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23bdc2ae
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@@ -7,6 +7,7 @@
plot_dendocluster(
spectral_count_object,
target_variable,
samples_label,
file_title,
hclust_method = "ward.D",
correlation_method = "spearman",
...
...
@@ -22,7 +23,11 @@ of this object is similar to that generated from the functions
\item{target_variable}{Character indicating the name of one column
from metadata. The different levels in this column will be represented
as different colors in the final dendogram.}
as different colors in the final dendrogram.}
\item{samples_label}{Character indicating the name of one column from
metadata. The name of different elements of this variable will be
displayed on the dendrogram plot.}
\item{file_title}{Character indicating the name of the generated file.}
...
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@@ -40,11 +45,11 @@ The default value is "spearman".}
permission to create a pdf file in the workstation of the user.}
}
\value{
A dendogram plot (pdf) indicating the number of elements per
A dend
r
ogram plot (pdf) indicating the number of elements per
sample.
}
\description{
Draws a dendogram where samples are clustered based on the number of elements
Draws a dend
r
ogram where samples are clustered based on the number of elements
present on each sample from a "spectral_count_object". This graph is
constructed based on Spearman correlations transformed into distances
and plotted with the logic of the package
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@@ -56,12 +61,12 @@ and plotted with the logic of the package
data(fecal_waters)
str(fecal_waters$metadata)
plot_dendocluster(fecal_waters, "Condition", "title_dendogram")
plot_dendocluster(fecal_waters, "Condition",
"SC_name",
"title_dendogram")
plot_dendocluster(fecal_waters, "Condition", "title_dendogram",
plot_dendocluster(fecal_waters, "Condition",
"SC_name",
"title_dendogram",
hclust_method = "mcquitty")
plot_dendocluster(fecal_waters, "Condition", "title_dendogram_groups",
plot_dendocluster(fecal_waters, "Condition",
"SC_name",
"title_dendogram_groups",
correlation_method = "pearson")
\dontshow{setwd(.old_wd)}
...
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