用ggplot2绘制一个使用整数值的阿基米德螺线 [英] Plot an Archimedean spiral using integer values with ggplot2
问题描述
,并且每7个数字将其分配一个因子'1',其他所有其他'0'。我也有一个TRUE或FALSE向量。我如何绘制这些数字的漩涡并突出每第七个数字?试着看看我是否可以拧紧或松开旋涡(theta)以对齐第7个数字。以下用于创建数据的代码。我使用了两种不同的功能来查看哪种矢量最适合。逻辑向量或1或0的向量。
returnint< - function(x){
if(x == TRUE){
return (1)
} else {
return(0)
}
}
isseven < - function(x){
if (x %% 7){
return(0)#FALSE
} else {
return(1)#TRUE
}
}
fo = seq(1,100)
fo.sev = NULL#因子
fo.int = NULL#as int 0 = FALSE,1 = TRUE
for i in 1:length(fo)){
fo.sev [i] = as.logical(isseven(i))
fo.int [i] = returnint(fo.sev [i])
df< - data.frame(fo,fo.int,as.factor(fo.sev))
names(df)< - c(x,intx,seven)
df
(我承认回答标题中的要求,但不理解其他文本的要求,尽管后来我猜测了一下。)只需要用一对参数方程:
x = t * cos(t); y = t * sin(t)
您需要实例化 这是对什么的猜测被要求绘制整数; 它确实出现了标签框的最小尺寸,因为即使它们的 How do you draw a swirl in R ? I am trying to plot a list of numbers 1:100
and every 7th number assign it a factor '1' all others just '0' . I also have a vector of TRUE or FALSE . How do I plot a swirl of these numbers and highlight every seventh number ? Trying to see if I can tighten or loosen the swirl (theta) to align the 7th numbers. The following code I used to create the data. I used two different functions just to see which vector would work best. A logical vector or a vector of "1" or "0" 's .
(I admit to answering the request in the title, but not understanding what the rest of your text was requesting, although I later took a guess.) Just set up data with a pair of parametric equations: You need to instantiate This is a guess at what was requested for plotting the integers; It did appear that the label boxes had a minimum size, since they appeared visible even when their 这篇关于用ggplot2绘制一个使用整数值的阿基米德螺线的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋! t
很好......如果你的目的是一条平滑的曲线:
$ $ $ $ $ $ $ $ $ $ $ t $ seq(0, 10,by = 0.01)
x = t * cos(t); y = t * sin(t)
ggplot(data.frame(x,y),aes(x = x,y = y))+ geom_path()
png()
print(ggplot(df,aes(x = x * cos(x),y = x * sin(x)))+
geom_label(data = df,aes(label = x,color = intx,size = intx + 1))+
coord_equal ))
dev.off()
尺寸
是零。我确实用 label.padding = unit(0.05,lines)
得到了更小的标签框returnint <- function( x ) {
if ( x == TRUE) {
return (1)
} else {
return (0)
}
}
isseven <- function( x ) {
if (x %% 7) {
return (0) # FALSE
} else {
return (1) # TRUE
}
}
fo = seq(1, 100)
fo.sev = NULL # factors
fo.int = NULL # as int 0 = FALSE , 1 = TRUE
for (i in 1:length(fo)) {
fo.sev[i] = as.logical(isseven(i))
fo.int[i] = returnint(fo.sev[i])
}
df <- data.frame(fo,fo.int,as.factor(fo.sev))
names(df) <- c("x","intx","seven")
df
x = t*cos(t); y = t*sin(t)
t
finely enough ... if your purpose is a smooth curve: t <- seq(0, 10, by=0.01)
x = t*cos(t); y = t*sin(t)
ggplot(data.frame(x,y), aes(x=x,y=y))+geom_path()
png()
print( ggplot( df, aes(x=x*cos(x), y=x*sin(x))) +
geom_label(data=df, aes(label=x, color=intx, size=intx + 1) ) +
coord_equal() )
dev.off()
size
was zero. And I did get smaller "label boxes" with label.padding = unit(0.05, "lines")