Question

我将此数据称为class App extends React.Component { handleInputChangeArray(event, index) { const { target } = event; const { name } = target; const value = target.type === "checkbox" ? target.checked : target.value; this.setState(prevState => { const team = [...prevState.team]; team[index] = { ...team[index], [name]: value }; return { team }; }); } render() { return ( <tr> {this.state.team.map((listValue, index) => { return ( <td key={index}> <input type="text" className="form-control" name="name" defaultValue={listValue.name} onChange={event => this.handleInputChangeArray(event, index)} /> </td> ); })} </tr> ); } }。我需要根据df的比例及其各自的Nucleotides值来更改形状的大小。例如，如果A的总体百分比高于所有其他核苷酸，那么我想使A看起来比G，T或C大。下面的代码绘制了所有变量，但我无法根据以下内容更改核苷酸的大小相应的百分比值。如果有人可以在这方面帮助我，我将不胜感激！

数据：

Percent

代码：

df<- structure(list(Pos = c(9, 9, 22, 9, 12, 1, 5, 21, 17, 10, 18, 
15, 13, 10, 12, 23, 15, 6, 5, 2, 8, 10, 3, 9, 4, 16, 19, 6, 23, 
1, 20, 22, 19, 18, 11, 20, 11, 8, 13, 16, 9, 9, 18, 9, 10, 20, 
3, 10, 6, 6), Nucleotides = structure(c(1L, 2L, 4L, 3L, 3L, 2L, 
3L, 2L, 2L, 4L, 4L, 4L, 4L, 1L, 3L, 3L, 3L, 3L, 3L, 2L, 1L, 4L, 
2L, 4L, 3L, 2L, 1L, 3L, 4L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 1L, 4L, 
2L, 2L, 3L, 2L, 2L, 4L, 2L, 3L, 3L, 4L, 4L, 1L), .Label = c("A", 
"C", "G", "T"), class = "factor"), Percent = c(1.25, 0.550314465408805, 
20.0731497418244, 0.995604395604396, 0, 1.00671140939597, 2.03009876156137, 
0.436898024029391, 0, 0.126082666374301, 0.137827450633918, 0.0728332119446468, 
0.13412531136233, 0.488293476899962, 0.606980273141123, 4.5262817940713, 
0.873737176736748, 2.09909875651215, 1.13913751017087, 0.330169211721007, 
0.305810397553517, 0.18524604858227, 1.25, 0.183503959822291, 
0.443521668065556, 0.601235873740466, 0.404688430512696, 0, 1.69868233052866, 
0.955167790489426, 1.2019531739076, 1.08638871657579, 0.691915513474144, 
3.44827586206897, 0, 25.6706562113083, 0.440528634361234, 0.203389830508475, 
0.547150411280846, 0.348986173079472, 1.26238676129117, 0.554843839731413, 
0.55041831792162, 0.180733779143322, 0.509484245179495, 1.31092996173682, 
0.651041666666667, 0, 0.182417582417582, 0.38268672472948), Samples = structure(c(9L, 
2L, 2L, 3L, 10L, 9L, 4L, 5L, 10L, 4L, 3L, 6L, 4L, 1L, 8L, 11L, 
4L, 4L, 1L, 5L, 2L, 7L, 9L, 7L, 3L, 7L, 11L, 10L, 2L, 11L, 1L, 
8L, 6L, 9L, 10L, 5L, 10L, 6L, 1L, 3L, 8L, 3L, 8L, 11L, 4L, 2L, 
5L, 10L, 3L, 5L), .Label = c("Ago2_SsHV2L_1_CATGGC_L003_R1_001", 
"Ago2_SsHV2L_2_CATTTT_L003_R1_001", "Ago4_SsHV2L_1_CCAACA_L003_R1_001", 
"Ago4_SsHV2L_2_TAATCG_L003_R1_001", "Dcl1_SsHV2L_1_GTAGAG_L003_R1_001", 
"Dcl1_SsHV2L_2_GGTAGC_L003_R1_001", "Dcl2_SsHV2L_1_ATGAGC_L003_R1_001", 
"Dcl2_SsHV2L_2_CAAAAG_L003_R1_001", "WTDK3_SsHV2L_1_GACGAC_L003_R1_001", 
"WTDK3_SsHV2L_2_TACAGC_L003_R1_001", "WTDK3_SsHV2L_3_TATAAT_L003_R1_001"
), class = "factor"), Read.Length = c("24", "18", "22", "20", 
"18", "23", "20", "24", "23", "22", "21", "24", "19", "24", "19", 
"23", "21", "23", "18", "20", "19", "24", "24", "23", "21", "20", 
"21", "23", "24", "23", "24", "23", "24", "19", "24", "20", "23", 
"20", "21", "21", "20", "21", "22", "19", "20", "21", "18", "22", 
"20", "21")), .Names = c("Pos", "Nucleotides", "Percent", "Samples", 
"Read.Length"), row.names = c("9.A63", "9.C8", "22.T4", "9.G17", 
"12.G64", "1.C62", "5.G24", "21.C20", "17.C69", "10.T26", "18.T18", 
"15.T42", "13.T23", "10.A7", "12.G51", "23.G21", "15.G25", "6.G27", 
"5.G1", "2.C31", "8.A9", "10.T49", "3.C63", "9.T48", "4.G18", 
"16.C45", "19.A63", "6.G69", "23.T4", "1.C76", "20.G5", "22.G23", 
"19.C36", "18.C58", "11.C70", "20.T21", "11.A69", "8.T38", "13.C4", 
"16.C18", "9.G52", "9.C18", "18.C54", "9.T72", "10.C24", "20.G7", 
"3.G29", "10.T68", "6.T17", "6.A32"), class = "data.frame")

Answer 1

如果我很了解您的问题，则您的代码已经可以满足您的要求。大小映射基于总百分比。下面的代码显示“ A”具有最低的总百分比值，而“ T”具有最高的总百分比值。

df2 <- df %>% 
  group_by(Nucleotides) %>% 
  mutate(overall_percent = sum(Percent))

但是，具有多种形状可能会造成混淆。在这种情况下，facet_grid或facet_wrap可能有助于增加维度。例如，您可以对 Samples 使用颜色映射，而对 Read.Length 使用多面切割，这样您的尺寸映射可以更清晰地显示在点上。

如何基于两个变量来更改geom_point的大小？

1 个答案: