I have a code that looks like this:
setwd("C:/Users/Evangelista/Desktop/v1")
require(visNetwork)
require(dplyr)
require(shiny)
require(magrittr)
graf.info = read.csv("nodes.csv")
id <- rownames(graf.info)
graf.info <- (cbind(id=id, graf.info))
graf.powiazania = read.csv("edges.csv")
visNetworkNodes <- data.frame(graf.info) %>%
mutate(id=graf.info$id,
label = nazwa_agenta,
title = nazwa_agenta)
visNetworkLinks <- data.frame(from = graf.powiazania$From,
to = graf.powiazania$To,
width = 50,
arrows = list(to = list(enabled = TRUE, scaleFactor = 4)))
net <- visNetwork(nodes = visNetworkNodes,
edges = visNetworkLinks,
height = "600px",
width = "800px")
net
And my problem is that the graph doesn't display any edges. My data is taken from csv file and it looks like this:
I don't know what is wrong with it. My data looks correct to me, data frame with nodes also has the column id. Data frame with edges has "From" and "To" columns. I run out of ideas what went wrong.
I found a solution :
visNetworkNodes <- data.frame(graf.info) %>%
mutate(id=graf.info$nazwa_agenta, <------here i changed 'id' to 'nazwa_agenta'
label = nazwa_agenta,
title = nazwa_agenta)
Related
I am following this R tutorial here (towards the end of the page) : https://glin.github.io/reactable/articles/examples.html. I would like to make an interactive map that allows you to filter points on the map - i.e. when you click on the table rows, points on the map appear and disappear.
I decided to generate my own data for this problem. I am following the last part where they make a map/table:
library(leaflet)
library(htmltools)
library(crosstalk)
library(reactable)
library(htmlwidgets)
myFun <- function(n = 5000) {
a <- do.call(paste0, replicate(5, sample(LETTERS, n, TRUE), FALSE))
paste0(a, sprintf("%04d", sample(9999, n, TRUE)), sample(LETTERS, n, TRUE))
}
id = 1:1000
long = 2.2945 + rnorm( 1000, 0.1085246 , 0.1)
lat = 48.8584 + rnorm( 1000, 0.009036273 , 0.1)
my_data_1 = data.frame(id, lat, long, var1 = myFun(1000), var2 = myFun(1000), var3 = myFun(1000) )
Then, I manipulated the data according
brew_sp <- SharedData$new(my_data_1, group = "breweries")
brew_data <- as_tibble(my_data_1) %>%
select(var1, var2, var3) %>%
SharedData$new(group = "breweries")
I then tried to make the map (I added a small change to the map):
map <- leaflet(brew_sp) %>%
addTiles() %>%
addMarkers(clusterOption=markerClusterOptions())
And then the table:
tbl <- reactable(
brew_data ,
selection = "multiple",
filterable = TRUE,
searchable = TRUE,
onClick = "select",
rowStyle = list(cursor = "pointer"),
minRows = 10
)
Then, I put them together and saved the result - this worked fine:
final_file = htmltools::browsable(
htmltools::tagList(map, tbl)
)
htmltools::save_html(tagList(map, tbl), file = "sample.html")
However, here is the problem:
I noticed that when I click on only one of the rows, I notice that everything else still appears on the map. Shouldn't all the other points disappear when only one item is selected?
Could someone show me how to make this map/table look the same way it appears in the tutorial?
Thank you!
I am using following function to generate stars(), one the visualization technique for multivariate data.
library(randomNames)
set.seed(3)
Name = randomNames(50, which.names = 'first')
height = sample(160:180, 50, replace = TRUE)
weight = sample(45:85, 50, replace = TRUE)
tumour_size = runif(50, 0,1)
df = data.frame(Name, height, weight, tumour_size, rnorm(50, 10,3))
stars(df,labels = Name)
But, I get the output like this:
How to align the names exactly below the stars?
Use option flip.labels=FALSE.
stars(df, labels = Name, flip.labels = FALSE)
Result
I want to create a PAG(parental ancestral graph) with visNetwork for my shiny app.
In order to do that i have to create edges that have both circles and arrows.
According to the visNetwork package i can convert the arrows to circles like this
visNetwork(nodes, edges) %>%
visEdges(arrows = list(to = list(enabled = TRUE,
scaleFactor = 2, type = 'circle')))
But i want to have both an arrow and a circle, or two circles in one edge like in this picture
PAG
The arrows.from.type and arrows.to.type seem to be working but i now i have this problem.
I want to draw this graph according to an adjacency matrix
So i have this code
i = 1
j = 1
for(i in i:ncol(results))
{
j = i
for(j in j:nrow(results))
{
if(results[j,i]==1)
{
dashBoard = c(dashBoard,TRUE)
colorBoard = c(colorBoard, "green")
if(results[i,j]==1)
{
fromtest <- c(fromtest,Cnames[i])
totest <- c(totest,Rnames[j])
arrfrom <-c(arrfrom,"circle")
arrto<-c(arrto,"circle")
}
else if(results[i,j]==2)
{
fromtest<-c(fromtest,Cnames[i])
totest<-c(totest,Rnames[j])
arrfrom <-c(arrfrom,"circle")
arrto<-c(arrto,"arrow")
}}
That goes on for every possible combination except 1,1 and 1,2
In the end the edges are printed like that
edgesprint <-data.frame(from = fromtest,
to = totest,
arrows.from.type=arrfrom,
arrows.to.type=arrto,
dashes = dashBoard,
physics = FALSE,
smooth = FALSE,
width = 3,
shadow = TRUE,
color = list(color = colorBoard, highlight = "red", hover = "green"),
links = links)
This method works good but sometimes without changing any code i get this error
error in data.frame arguments imply differing number of rows
You can set individual arrow types in the edges data frame by adding columns arrows.to.type and arrows.from.type:
library(visNetwork)
library(magrittr)
nodes <- data.frame(id=c("a","b","c","d"), label=c("a","b","c","d"))
edges <- data.frame(
from = c("a","a","a"),
to = c("b","c","d"),
arrows.from.type = c(NA,"circle","circle"),
arrows.to.type = c("arrow","circle",NA)
)
visNetwork(nodes, edges)
Result:
This approach works for all other attributes you can set through visNodes and visEdges. See here for an example.
I'm trying to render a graph in a shiny app using highcharter that shares an x-axis (days) but has multiple y-axes (a percent and a count). After some research it seems like I should use the 'hc_yAxis_multiples' method. On the left y-axis, I have % displayed. On the right y-axis, I want the count displayed. There is a line graph that is based on the left y-axis (%), and a stacked bar graph that is displayed based on the right y-axis.
I have been able to overlay the two graphs, but the bar chart portion based on the right y-axis is not formatted to the corresponding y-axis. Based on what I have been looking at, it seems like something like this would produce a result that I want:
##This first block is to show what the data types of the variables I'm using are and what the structure of my df looks like
df$inbox_rate <- df$total_inbox / df$total_volume
df$inbox_rate <- round((df$inbox_rate*100),0)
df$received_dt <- as.character(df$received_dt)
df$received_dt <- as.Date(df$received_dt, "%Y%m%d")
df <- df[order(df$received_dt),]
## This second block here is where I'm trying to build the chart with two Y-axes
hc <- highchart()%>%
hc_title(text = paste(domain_name,sep=""),align = "center") %>%
hc_legend(align = "center") %>%
hc_xAxis(type = "datetime", labels = list(format = '{value:%m/%d}')) %>%
hc_yAxis_multiples(list(title = list(text = "IPR"),labels=list(format = '{value}%'),min=0,
max=100,showFirstLabel = TRUE,showLastLabel=TRUE,opposite = FALSE),
list(title = list(text = "Total Subscribers"),min=0,max = max(df$total_users),
labels = list(format = "{value}"),showLastLabel = FALSE, opposite = TRUE)) %>%
hc_plotOptions(column = list(stacking = "normal")) %>%
hc_add_series(df,"column",hcaes(
x=received_dt,y=total_users,group=isp,yAxis=total_users)) %>%
hc_add_series(df,type="line",hcaes(
x=received_dt,y=inbox_rate,group=isp,yAxis=inbox_rate)) %>%
hc_exporting(enabled = TRUE) %>%
hc_add_theme(thm)
hc
However this produces something that looks like this.
To give more insight about the data I'm using, the domain_name is a string variable that looks like this: example.com. The total_users variable is a number that varies from 0 to about 50000. The received_dt variable is a date, formatted using as.Date(df$received_dt, "%Y%m%d"). The inbox_rate variable is a percent, from 0 to 100.
The bar counts are all displaying to the full height of the graph, even though the values of the bars vary widely. To reiterate, I want the right y-axis that the bar chart heights are based on to be the count of the df$total_users. Within the hc_yAxis_multiples function, there are two lists given. I thought that the first list gives the left y-axis, and the second gives the right. The closest answer to my question that I could find was given by this stackoverflow response
If anyone has any insight, it would be very much appreciated!
Your use of the yAxis statement in hc_add_series seems to be off. First, it should not be inside hcaes and second, it's a number specifying which axis (in order of appearance in hy_yAxis_multiple call) the series belongs to. So hc_add_series(..., yAxis = 1) should be used to assign a series to the second (right) axis.
Below is a (fully self-explaining, independent, minimal) example that shows how it should work.
library(highcharter)
df <- data.frame(
total_inbox = c(2, 3, 4, 5, 6),
total_volume = c(30, 30, 30, 30, 30),
total_users = c(300, 400, 20, 340, 330),
received_dt = c("20180202", "20180204", "20180206", "20180210", "20180212"),
isp = "ProviderXY"
)
df$inbox_rate <- df$total_inbox / df$total_volume
df$inbox_rate <- round((df$inbox_rate*100),0)
df$received_dt <- as.character(df$received_dt)
df$received_dt <- as.Date(df$received_dt, "%Y%m%d")
df <- df[order(df$received_dt),]
hc <- highchart()%>%
hc_xAxis(type = "datetime", labels = list(format = '{value:%m/%d}')) %>%
hc_yAxis_multiples(list(title = list(text = "IPR"),labels=list(format = '{value}%'),min=0,
max=100,showFirstLabel = TRUE,showLastLabel=TRUE,opposite = FALSE),
list(title = list(text = "Total Subscribers"),min=0,max = max(df$total_users),
labels = list(format = "{value}"),showLastLabel = FALSE, opposite = TRUE)) %>%
hc_plotOptions(column = list(stacking = "normal")) %>%
hc_add_series(df,type="column",hcaes(x=received_dt,y=total_users,group=isp),yAxis=1) %>%
hc_add_series(df,type="line",hcaes(x=received_dt,y=inbox_rate,group=isp))
hc
Maybe take this as an example how code in questions should be like. Copy-Paste-Runnable, no outside variables and minus all the things that dont matter here (like the theme and legend for example).
I would like to merge regions in a map and not display intra borders. I also would like to always display the names of the newly grouped regions.
Is hc_add_series_map the right instruction for doing so ?
Thanks in advance for your help
(I do not use Java for programming, only R)
Here is an example :
mapdata <- get_data_from_map(download_map_data("countries/fr/fr-all-all"))
glimpse(mapdata)
set.seed(1234)
data_fake <- mapdata %>%
select(code = `hc-a2`) %>%
mutate(value = 1e5 * abs(rt(nrow(.), df = 10)))
glimpse(data_fake)
hcmap("countries/fr/fr-all-all", data = data_fake, value = "value",
joinBy = c("hc-a2", "code"), name = "Fake data",
dataLabels = list(enabled = TRUE, format = '{point.code}'),
borderColor = "#FAFAFA", borderWidth = 0.1,
tooltip = list(valueDecimals = 2))
enter image description here
I would like to add borders for 5 grouped "big" regions, either by deleting 'intra borders' in a region, or adding black lined borders for big regions.
Thanks in advance.