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- 来自专栏SAP Technical
ABAP 字段隐藏的方法
WRITE: / sy-vline,(15) '航线承运人', sy-vline , (15) '航班连接', sy-vline, (15) '国家代码', sy-vline,(15) '起飞城市', sy-vline, (15) '起飞机场',sy-vline. WRITE: / sy-vline,(15) spfli-carrid,sy-vline, (15) spfli-connid,sy-vline, (15) spfli-countryto,sy-vline, (15) spfli-cityfrom,sy-vline, WRITE: / sflight-carrid,sy-vline,sflight-connid, sy-vline,sflight-fldate,sy-vline,sflight-price
1.3K20发布于 2020-11-27 - 来自专栏用户8186044的专栏
查找t-code和程序的出口
WRITE:/1 sy-vline, 2 'Enhancement/ Business Add-in', 41 sy-vline , 42 'Description', 105 sy-vline. WRITE:/1 sy-vline, 2 wf_object2, 105 sy-vline. WRITE:/1 sy-vline, 2 wa_tadir-obj_name HOTSPOT ON, 41 sy-vline , 42 wf_txt, 105 sy-vline.
55130发布于 2021-04-23 - 来自专栏文献分享及代码学习
单细胞数据复现-肺癌文章代码复现1
2) + geom_hline(yintercept = log2(nFeature_upper), color = "red", linetype = 2) + geom_vline 2) + geom_hline(yintercept = log2(nFeature_upper), color = "red", linetype = 2) + geom_vline (xintercept = log2(nFeature_lower), color = "red", linetype = 2) + geom_vline(xintercept = log2 (xintercept = log2(nFeature_lower), color = "red", linetype = 2) + geom_vline(xintercept = log2 (xintercept = log2(nFeature_lower), color = "red", linetype = 2) + geom_vline(xintercept = log2
3.3K62编辑于 2022-05-06 - 来自专栏生信修炼手册
circos 中的pattern是做什么用的
block 中，可以使用pattern参数，指定填充的样式，用法如下： pattern = checker pattern参数的取值范围包括以下9种： solid hline hline-sparse vline vline-sparse checker checker-sparse dot dot-sparse 在软件的安装目录下的etc/patterns.conf中，保存了pattern的配置信息 ? vline-sparse: ? 4. checker checkers : ? checkers-sparse: ? 5. dots dots : ? dots-sparse : ? bezier_radius = 0r crest = 0.2 <rules> <rule> condition = rand() < 0.5 pattern = eval((qw(hline vline dblue,white:vlblue z = 10 </rule> <rule> condition = rand() < 0.5 pattern = eval((qw(hline vline
97431发布于 2020-05-09 - 来自专栏SAP Technical
SAP中查找增强的可执行程序示例
sy-vline. sy-vline. sy-vline. WRITE:/1 sy-vline, 'Enhancement/ Business Add-in', sy-vline , 'Description', sy-vline. WRITE:/1 sy-vline, wa_tadir-obj_name HOTSPOT ON, sy-vline , wf_txt, sy-vline.
1.3K10发布于 2020-11-27 - 来自专栏花落的技术专栏
单基因TCGA的Cox森林图
scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ ##设置X轴范围，分割点从-1到1，以1为分界，具体分界看数字分布 geom_vline lower_95_log), height = 0.4)+ scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ geom_vline lower_95_log), height = 0.4)+ scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ geom_vline lower_95_log), height = 0.4)+ scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ geom_vline height = 0.4)+ scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ geom_vline
55010编辑于 2021-11-26 - 来自专栏小明的数据分析笔记本
R语言ggplot2每周一图活动：第二周~气泡图展示女性科研工作者所占比例
scale_color_manual(name="BB", values = colors12)+ labs(x=NULL,y=NULL,title = "ABCDE")+ geom_vline (xintercept = 0.5,color="grey",lty="dashed")+ geom_vline(xintercept = 0.4,color="grey",lty="dashed" )+ geom_vline(xintercept = 0.3,color="grey",lty="dashed")+ geom_vline(xintercept = 0.2,color="grey ",lty="dashed")+ geom_vline(xintercept = 0.1,color="grey",lty="dashed")
63910编辑于 2022-05-23 - 来自专栏生信补给站
geom_abline
., yintercept, na.rm = FALSE, show.legend = NA) geom_vline(mapping = NULL, data = NULL, ..., xintercept = FALSE, show.legend = NA) p <- ggplot(mtcars, aes(wt, mpg)) + geom_point()# Fixed values p + geom_vline (xintercept = 5) p + geom_vline(xintercept = 1:5) p + geom_hline(yintercept = 20) p + geom_abline() #
62440发布于 2020-08-06 - 来自专栏小明的数据分析笔记本
跟着Nature学作图:R语言ggplot2簇状柱形图完整示例
Threat,y=n,fill=className))+ geom_bar(stat="identity",position = "dodge")+ theme_classic()+ geom_vline (xintercept = 5.5,lty="dashed")+ geom_vline(xintercept = 9.5,lty="dashed")+ annotate(geom = "text Threat,y=n,fill=className))+ geom_bar(stat="identity",position = "dodge")+ theme_classic()+ geom_vline (xintercept = 5.5,lty="dashed")+ geom_vline(xintercept = 9.5,lty="dashed")+ annotate(geom = "text
1.3K51编辑于 2023-01-06 - 来自专栏我的技术专刊
TCGA的Cox森林
scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ ##设置X轴范围，分割点从-1到1，以1为分界，具体分界看数字分布 geom_vline lower_95_log), height = 0.4)+ scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ geom_vline lower_95_log), height = 0.4)+ scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ geom_vline lower_95_log), height = 0.4)+ scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ geom_vline height = 0.4)+ scale_x_continuous(limits= c(-2, 2), breaks= seq(-1, 1, 1))+ geom_vline
35920编辑于 2021-12-06 - 来自专栏小明的数据分析笔记本
跟着Nature microbiology学画图~R语言ggplot2画直方图
image.png 添加一条垂直的辅助线，用到的是geom_vline()函数 ggplot(df,aes(x=x,y=y))+ geom_col(width = 1,color="black",fill of ESVs")+ theme(panel.background = element_blank(), axis.line = element_line())+ geom_vline of ESVs")+ theme(panel.background = element_blank(), axis.line = element_line())+ geom_vline of ESVs")+ theme(panel.background = element_blank(), axis.line = element_line())+ geom_vline
1.1K30发布于 2020-12-18 - 来自专栏生信补给站
ggplot2|从0开始绘制直方图
geom_histogram(binwidth=1,color="black", fill="lightblue",linetype="dashed")+ #设置框线类型，颜色和fill的颜色 geom_vline p<-ggplot(df, aes(x=weight, color=sex)) + geom_histogram(fill="white", position="dodge")+ geom_vline (x=weight, fill=sex, color=sex)) + geom_histogram(binwidth=1,position="identity", alpha=0.5)+ geom_vline geom_histogram(binwidth=1,aes(y=..density..), position="identity", alpha=0.5)+ geom_density(alpha=0.6)+ geom_vline
4.8K41发布于 2020-08-06 - 来自专栏前端西瓜哥的前端文章
图形编辑器开发：参考线吸附效功能，让图形自动对齐
vLine.ys.push(correctedTargetBbox.minY); vLine.ys.push(correctedTargetBbox.maxY); // 参照图形上的点 vLine.ys.push(...hLineMap.get(closestMinX)!) ; // 添加到 “待绘制垂线集合” this.toDrawVLines.push(vLine); } /*************** 中间垂直的参考线 ********** x: closestMidX, ys: [], }; vLine.ys.push(correctedTargetBbox.midY); vLine.ys.push const { x } = this.editor.sceneCoordsToViewport(vLine.x, 0); // 遍历绘制点 for (const y_ of vLine.ys
1.4K61编辑于 2023-08-18 - 来自专栏小明的数据分析笔记本
跟着Nature Plants学作图：R语言ggplot2画分组折线图并对坐标轴添加一些额外注释
ggplot()+ geom_line(data=new.dat,aes(x=Window,y=new_col,color=Context), size=2)+ geom_vline (xintercept = 100,lty="dashed", color="red", size=1)+ geom_vline(xintercept ggplot()+ geom_line(data=new.dat,aes(x=Window,y=new_col,color=Context), size=2)+ geom_vline (xintercept = 100,lty="dashed", color="red", size=1)+ geom_vline(xintercept
1.4K20编辑于 2023-01-06 - 来自专栏R语言数据分析指南
ggplot2优雅的拆分堆砌条形图
scale_x_continuous(expand = expansion(mult = c(0, 0.1))) + scale_y_discrete(expand = expansion(mult = 0)) + geom_vline scale_x_continuous(expand = expansion(mult = c(0, 0.1))) + scale_y_discrete(expand = expansion(mult = 0)) + geom_vline scale_x_continuous(expand = expansion(mult = c(0, 0.1))) + scale_y_discrete(expand = expansion(mult = 0)) + geom_vline
85110编辑于 2022-09-21 - 来自专栏作图丫
PCAtools--主成分分析，有它就够了！
通过原点添加线条，并添加图例 biplot(p, lab = paste0(p$metadata$Age, ' años'), colby = 'ER', hline = 0, vline nstatus', # encircle config encircle = TRUE, encircleFill = TRUE, hline = 0, vline 1/4, ellipseLineSize = 1.0, xlim = c(-125,125), ylim = c(-50, 80), hline = 0, vline ('ER+' = 'yellow', 'ER-' = 'pink'), xlim = c(-125,125), ylim = c(-50, 80), hline = 0, vline pairsplot(p, components = getComponents(p, c(4,33,11,1)), triangle = FALSE, hline = 0, vline
4.8K31编辑于 2022-03-28 - 来自专栏生物信息学、python、R、linux
ggplot2 annotate文本设置意大利斜体ggplot2 annotate文本设置意大利斜体
geom_histogram(stat="count", fill='#888888', color='white') + labs(x='', title = 'ENCFF001HIA') + geom_vline (xintercept = 47, color='#FF5511') + geom_vline(xintercept = mean(controls$control_num), color='#0066FF
1.7K30发布于 2021-09-07 - 来自专栏火星娃统计
ggplot2 核密度图和直方图
- ggplot(dataset, aes(x = weight)) # 简单的绘图 # 添加密度图默认绘图 p1 <- p + geom_density() + # 添加垂直线 geom_vline ") # y轴为计数 p2 <- p + geom_density(aes(y = stat(count)), fill = "lightgray") + # 添加垂直均值线 geom_vline # 更改线的颜色和填充颜色和垂直线 p4 <- p + geom_density(aes(fill = sex), alpha = 0.4) + # 添加垂直线，me为性别均值 geom_vline 简单的直方图 # bins为一个柱子里放的数目 p + geom_histogram(bins = 30, color = "black", fill = "gray") + # 垂直线 geom_vline
5.7K61发布于 2020-09-15 - 来自专栏小明的数据分析笔记本
R语言计算一组数据的置信区间并画密度图进行可视化展示的简单小例子
&dat$x<x1[1],] library(ggplot2) ggplot(iris,aes(Sepal.Length))+ geom_density(fill="grey")+ geom_vline (xintercept = x1[1],lty="dashed")+ geom_vline(xintercept = x1[3],lty="dashed")+ geom_area(data=dat1 ,aes(x=x,y=y),fill="red")+ geom_vline(xintercept = x1[2],lty="dashed")+ scale_y_continuous(expand
6.4K20发布于 2020-12-09 - 来自专栏生信补给站
ggplot2-plotly|让你的火山图“活”过来
2.2 细节优化火山图 1）根据阈值设定上下调基因 新增change列，利用ifelse函数添加基因的上下调情况，color进行区分，然后使用geom_hline() 和 geom_vline( )参数添加阈值线 2）添加阈值线 使用geom_hline() 和 geom_vline( )参数添加阈值线 ggplot(data = data, aes(x = logFC, y = -log10(adj.P.Val element_blank(),panel.grid.major = element_blank()) + geom_hline(yintercept=2 ,linetype=4) + geom_vline element_blank(),panel.grid.major = element_blank()) + geom_hline(yintercept=2 ,linetype=4) + geom_vline
3.7K21发布于 2020-08-06
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