作为R的新手,我正在制作一个显示两个变量的文字云:frequency
和rating
。使用通用表格,我希望按州和假设的平均大学评级显示假设的大学数量(字体=大到小)
我能够创建描述fonts =大学数量的云,但不能将评级与第三列联系起来。这是我的通用表:
State Colleges Rating
Alabama 220 1
Alaska 100 3
Arizona 50 5
Arkansas 275 1
California 155 3
Colorado 68 5
Connecticut 235 1
Delaware 189 3
Florida 32 5
Georgia 219 1
Hawaii 117 3
Idaho 63 5
Illinois 264 1
Indiana 167 3
Iowa 76 5
Kansas 287 1
Kentucky 178 3
Louisiana 67 5
Maine 246 1
Maryland 169 3
Massachusetts 46 5
Michigan 225 1
Minnesota 132 3
Mississippi 23 5
Missouri 219 1
Montana 194 3
Nebraska 97 5
以下是我非常简单的脚本:
library(wordcloud)
library(rcolorbrewer)
data <- read.csv("wordcloud.csv", header = T)
pal <- brewer.pal(9, "RdYlGn")
wordcloud(data$State, data$Colleges, scale = c(4,1), colors = pal, rot.per=.5)
上面的脚本允许文本大小反映大学的数量,但是我无法将1 =绿色(好)的颜色渐变链接到3 =黄色(平均值)到5 =红色(坏)。非常感谢任何建议。
答案 0 :(得分:3)
在这种情况下,还可以绘制比较云。
为此,我们首先将数据从长格式转换为宽格式:
library(reshape2)
df1 <- dcast(df1,State + Colleges ~ Rating, value.var = "Colleges")
然后我们执行一些标准操作来准备合适的矩阵:
rownames(df1) <- df1[,1] #use name of States as row names
df1 <- df1[,-c(1,2)] #remove "States" and "Colleges" column
df1[is.na(df1)] <- 0 #set NA values to zero
df1 <- as.matrix(df1) #convert into matrix
colnames(df1) <- c("good", "average", "bad")
最后,我们可以绘制比较云并根据需要为组指定颜色:
library(wordcloud)
comparison.cloud(df1,max.words=Inf,random.order=FALSE, scale = c(4,.5),
title.size = 1, colors=c("green","orange","red"))
数据强>
df1 <- structure(list(State = structure(1:27, .Label = c("Alabama",
"Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut",
"Delaware", "Florida", "Georgia", "Hawaii", "Idaho", "Illinois",
"Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Maine",
"Maryland", "Massachusetts", "Michigan", "Minnesota", "Mississippi",
"Missouri", "Montana", "Nebraska"), class = "factor"), Colleges = c(220L,
100L, 50L, 275L, 155L, 68L, 235L, 189L, 32L, 219L, 117L, 63L,
264L, 167L, 76L, 287L, 178L, 67L, 246L, 169L, 46L, 225L, 132L,
23L, 219L, 194L, 97L), Rating = c(1L, 3L, 5L, 1L, 3L, 5L, 1L,
3L, 5L, 1L, 3L, 5L, 1L, 3L, 5L, 1L, 3L, 5L, 1L, 3L, 5L, 1L, 3L,
5L, 1L, 3L, 5L)), .Names = c("State", "Colleges", "Rating"),
class = "data.frame", row.names = c(NA, -27L))
答案 1 :(得分:2)
您可以手动分配颜色并添加public static String getMd5Key(String password) {
// String password = "12131123984335";
try {
MessageDigest md = MessageDigest.getInstance("MD5");
md.update(password.getBytes());
byte byteData[] = md.digest();
//convert the byte to hex format method 1
StringBuffer sb = new StringBuffer();
for (int i = 0; i < byteData.length; i++) {
sb.append(Integer.toString((byteData[i] & 0xff) + 0x100, 16).substring(1));
}
System.out.println("Digest(in hex format):: " + sb.toString());
//convert the byte to hex format method 2
StringBuffer hexString = new StringBuffer();
for (int i = 0; i < byteData.length; i++) {
String hex = Integer.toHexString(0xff & byteData[i]);
if (hex.length() == 1) hexString.append('0');
hexString.append(hex);
}
System.out.println("Digest(in hex format):: " + hexString.toString());
return hexString.toString();
} catch (Exception e) {
// TODO: handle exception
}
return "";
}
ordered.colors=T