The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

MedLEA

library(MedLEA)

Wordcloud of Family of the Medicinal Plants

library(ggplot2)
library(dplyr)
library(tidyr)
library(wordcloud2)
library(patchwork)
library(tm)

#unique(medlea$Family_Name)

text1 <- medlea$Family_Name
docs <- Corpus(VectorSource(text1))
docs <- docs%>% tm_map(stripWhitespace)
dtm <- TermDocumentMatrix(docs)
matrix <- as.matrix(dtm)
words <- sort(rowSums(matrix), decreasing = TRUE)
df <- data.frame(word = names(words), freq = words)
p1 <- wordcloud2(data = df, size = 0.9,color = 'random-dark', shape = 'pentagon')
p1

Composition of the Sample by Shape and Edge Type of Leaves

medlea <- medlea %>% filter(Arrangements == "Simple")

d11 <- as.data.frame(table(medlea$Shape))
names(d11) <- c('Shape_of_the_leaf', 'No_of_leaves')

p2 <- ggplot(d11, aes(x= reorder(Shape_of_the_leaf, No_of_leaves), y=No_of_leaves)) + labs(y="Number of leaves", x="Shape of the leaf") + geom_bar(stat = "identity", width = 0.6) + ggtitle("Composition of the Sample by the Shape Label") + coord_flip()
d11 <- as.data.frame(table(medlea$Edges))
names(d11) <- c('Edges', 'No_of_leaves')
#d11 <- d11 %>% mutate(Percentage = round(No_of_leaves*100/sum(No_of_leaves),0))
#ggplot(d11, aes(x= reorder(Shape_of_the_leaf, Percentage), y=Percentage)) + labs(y="Percentage", x="Shape of the leaf") + geom_bar(stat = "identity", width = 0.5) + geom_label(aes(label = paste0(Percentage, "%")), nudge_y = -3, size = 3.25, label.padding = unit(0.175,"lines")) + ggtitle("Composition of the Sample by the Shape Label") + coord_flip()

p3 <- ggplot(d11, aes(x= reorder(Edges, No_of_leaves), y=No_of_leaves)) + labs(y="Number of leaves", x="Edge type of the leaf") + geom_bar(stat = "identity", width = 0.6) + ggtitle("Composition of the Sample by the Edge Type") + coord_flip()

p2 + p3 + plot_layout(ncol = 1)

Composition of the Sample by Shape and Edge type of Leaves in Simple Arrangement

medlea <- filter(medlea, Shape != "Scale-like shaped")

d29 <- as.data.frame(table(medlea$Shape,medlea$Edges))
names(d29) <- c('Shape','Edges','No_of_leaves')


ggplot(d29, aes(fill = Edges, x=Shape , y=No_of_leaves)) + labs(y="Number of leaves", x="Shape of the leaf") + geom_bar(stat = "identity", width = 0.5, position = position_dodge()) + coord_flip() + ggtitle("Composition of the sample by Shape Label and Edge type") + scale_fill_brewer(palette = "Set1") + coord_flip() 

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.