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社区首页 >专栏 >生信技能树-R作业-2

生信技能树-R作业-2

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素素
发布2023-05-19 08:35:06
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发布2023-05-19 08:35:06
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文章被收录于专栏:生信课程note+实验知识
代码语言:text
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#10.把前面读取的样本信息表格的样本名字根据下划线分割看第3列元素的统计情况。第三列代表该样本所在的plate
#plate指384孔PCR板,编号分别是48号和49号。
title=sample$Title
title
代码语言:txt
复制
##   [1] "SS2_15_0048_A1"  "SS2_15_0048_A2"  "SS2_15_0048_A3"  "SS2_15_0048_A4" 
##   [5] "SS2_15_0048_A5"  "SS2_15_0048_A6"  "SS2_15_0048_A7"  "SS2_15_0048_A8" 
##   [9] "SS2_15_0048_A9"  "SS2_15_0048_A10" "SS2_15_0048_A11" "SS2_15_0048_A12"
##  [13] "SS2_15_0048_A13" "SS2_15_0048_A14" "SS2_15_0048_A15" "SS2_15_0048_A16"
##  [17] "SS2_15_0048_A17" "SS2_15_0048_A18" "SS2_15_0048_A19" "SS2_15_0048_A20"
##  [21] "SS2_15_0048_A21" "SS2_15_0048_A22" "SS2_15_0048_A23" "SS2_15_0048_A24"
##  [25] "SS2_15_0048_B1"  "SS2_15_0048_B2"  "SS2_15_0048_B3"  "SS2_15_0048_B4" 
##  [29] "SS2_15_0048_B5"  "SS2_15_0048_B6"  "SS2_15_0048_B7"  "SS2_15_0048_B8" 
##  [33] "SS2_15_0048_B9"  "SS2_15_0048_B10" "SS2_15_0048_B11" "SS2_15_0048_B12"
##  [37] "SS2_15_0048_B13" "SS2_15_0048_B14" "SS2_15_0048_B15" "SS2_15_0048_B16"
##  [41] "SS2_15_0048_B17" "SS2_15_0048_B18" "SS2_15_0048_B19" "SS2_15_0048_B20"
##  [45] "SS2_15_0048_B21" "SS2_15_0048_B22" "SS2_15_0048_B23" "SS2_15_0048_B24"
##  [49] "SS2_15_0048_C1"  "SS2_15_0048_C2"  "SS2_15_0048_C3"  "SS2_15_0048_C4" 
##  [53] "SS2_15_0048_C5"  "SS2_15_0048_C6"  "SS2_15_0048_C7"  "SS2_15_0048_C8" 
##  [57] "SS2_15_0048_C9"  "SS2_15_0048_C10" "SS2_15_0048_C11" "SS2_15_0048_C12"
##  [61] "SS2_15_0048_C13" "SS2_15_0048_C14" "SS2_15_0048_C15" "SS2_15_0048_C16"
##  [65] "SS2_15_0048_C17" "SS2_15_0048_C18" "SS2_15_0048_C19" "SS2_15_0048_C20"
##  [69] "SS2_15_0048_C21" "SS2_15_0048_C22" "SS2_15_0048_C23" "SS2_15_0048_C24"
##  [73] "SS2_15_0048_D1"  "SS2_15_0048_D2"  "SS2_15_0048_D3"  "SS2_15_0048_D4" 
##  [77] "SS2_15_0048_D5"  "SS2_15_0048_D6"  "SS2_15_0048_D7"  "SS2_15_0048_D8" 
##  [81] "SS2_15_0048_D9"  "SS2_15_0048_D10" "SS2_15_0048_D11" "SS2_15_0048_D12"
##  [85] "SS2_15_0048_D13" "SS2_15_0048_D14" "SS2_15_0048_D15" "SS2_15_0048_D16"
##  [89] "SS2_15_0048_D17" "SS2_15_0048_D18" "SS2_15_0048_D19" "SS2_15_0048_D20"
##  [93] "SS2_15_0048_D21" "SS2_15_0048_D22" "SS2_15_0048_D23" "SS2_15_0048_D24"
##  [97] "SS2_15_0048_E1"  "SS2_15_0048_E2"  "SS2_15_0048_E3"  "SS2_15_0048_E4" 
## [101] "SS2_15_0048_E5"  "SS2_15_0048_E6"  "SS2_15_0048_E7"  "SS2_15_0048_E8" 
## [105] "SS2_15_0048_E9"  "SS2_15_0048_E10" "SS2_15_0048_E11" "SS2_15_0048_E12"
## [109] "SS2_15_0048_E13" "SS2_15_0048_E14" "SS2_15_0048_E15" "SS2_15_0048_E16"
## [113] "SS2_15_0048_E17" "SS2_15_0048_E18" "SS2_15_0048_E19" "SS2_15_0048_E20"
## [117] "SS2_15_0048_E21" "SS2_15_0048_E22" "SS2_15_0048_E23" "SS2_15_0048_E24"
## [121] "SS2_15_0048_F1"  "SS2_15_0048_F2"  "SS2_15_0048_F3"  "SS2_15_0048_F4" 
## [125] "SS2_15_0048_F5"  "SS2_15_0048_F6"  "SS2_15_0048_F7"  "SS2_15_0048_F8" 
## [129] "SS2_15_0048_F9"  "SS2_15_0048_F10" "SS2_15_0048_F11" "SS2_15_0048_F12"
## [133] "SS2_15_0048_F13" "SS2_15_0048_F14" "SS2_15_0048_F15" "SS2_15_0048_F16"
## [137] "SS2_15_0048_F17" "SS2_15_0048_F18" "SS2_15_0048_F19" "SS2_15_0048_F20"
## [141] "SS2_15_0048_F21" "SS2_15_0048_F22" "SS2_15_0048_F23" "SS2_15_0048_F24"
## [145] "SS2_15_0048_G1"  "SS2_15_0048_G2"  "SS2_15_0048_G3"  "SS2_15_0048_G4" 
## [149] "SS2_15_0048_G5"  "SS2_15_0048_G6"  "SS2_15_0048_G7"  "SS2_15_0048_G8" 
## [153] "SS2_15_0048_G9"  "SS2_15_0048_G10" "SS2_15_0048_G11" "SS2_15_0048_G12"
## [157] "SS2_15_0048_G13" "SS2_15_0048_G14" "SS2_15_0048_G15" "SS2_15_0048_G16"
## [161] "SS2_15_0048_G17" "SS2_15_0048_G18" "SS2_15_0048_G19" "SS2_15_0048_G20"
## [165] "SS2_15_0048_G21" "SS2_15_0048_G22" "SS2_15_0048_G23" "SS2_15_0048_G24"
## [169] "SS2_15_0048_H1"  "SS2_15_0048_H2"  "SS2_15_0048_H3"  "SS2_15_0048_H4" 
## [173] "SS2_15_0048_H5"  "SS2_15_0048_H6"  "SS2_15_0048_H7"  "SS2_15_0048_H8" 
## [177] "SS2_15_0048_H9"  "SS2_15_0048_H10" "SS2_15_0048_H11" "SS2_15_0048_H12"
## [181] "SS2_15_0048_H13" "SS2_15_0048_H14" "SS2_15_0048_H15" "SS2_15_0048_H16"
## [185] "SS2_15_0048_H17" "SS2_15_0048_H18" "SS2_15_0048_H19" "SS2_15_0048_H20"
## [189] "SS2_15_0048_H21" "SS2_15_0048_H22" "SS2_15_0048_H23" "SS2_15_0048_H24"
## [193] "SS2_15_0048_I1"  "SS2_15_0048_I2"  "SS2_15_0048_I3"  "SS2_15_0048_I4" 
## [197] "SS2_15_0048_I5"  "SS2_15_0048_I6"  "SS2_15_0048_I7"  "SS2_15_0048_I8" 
## [201] "SS2_15_0048_I9"  "SS2_15_0048_I10" "SS2_15_0048_I11" "SS2_15_0048_I12"
## [205] "SS2_15_0048_I13" "SS2_15_0048_I14" "SS2_15_0048_I15" "SS2_15_0048_I16"
## [209] "SS2_15_0048_I17" "SS2_15_0048_I18" "SS2_15_0048_I19" "SS2_15_0048_I20"
## [213] "SS2_15_0048_I21" "SS2_15_0048_I22" "SS2_15_0048_I23" "SS2_15_0048_I24"
## [217] "SS2_15_0048_J1"  "SS2_15_0048_J2"  "SS2_15_0048_J3"  "SS2_15_0048_J4" 
## [221] "SS2_15_0048_J5"  "SS2_15_0048_J6"  "SS2_15_0048_J7"  "SS2_15_0048_J8" 
## [225] "SS2_15_0048_J9"  "SS2_15_0048_J10" "SS2_15_0048_J11" "SS2_15_0048_J12"
## [229] "SS2_15_0048_J13" "SS2_15_0048_J14" "SS2_15_0048_J15" "SS2_15_0048_J16"
## [233] "SS2_15_0048_J17" "SS2_15_0048_J18" "SS2_15_0048_J19" "SS2_15_0048_J20"
## [237] "SS2_15_0048_J21" "SS2_15_0048_J22" "SS2_15_0048_J23" "SS2_15_0048_J24"
## [241] "SS2_15_0048_K1"  "SS2_15_0048_K2"  "SS2_15_0048_K3"  "SS2_15_0048_K4" 
## [245] "SS2_15_0048_K5"  "SS2_15_0048_K6"  "SS2_15_0048_K7"  "SS2_15_0048_K8" 
## [249] "SS2_15_0048_K9"  "SS2_15_0048_K10" "SS2_15_0048_K11" "SS2_15_0048_K12"
## [253] "SS2_15_0048_K13" "SS2_15_0048_K14" "SS2_15_0048_K15" "SS2_15_0048_K16"
## [257] "SS2_15_0048_K17" "SS2_15_0048_K18" "SS2_15_0048_K19" "SS2_15_0048_K20"
## [261] "SS2_15_0048_K21" "SS2_15_0048_K22" "SS2_15_0048_K23" "SS2_15_0048_K24"
## [265] "SS2_15_0048_L1"  "SS2_15_0048_L2"  "SS2_15_0048_L3"  "SS2_15_0048_L4" 
## [269] "SS2_15_0048_L5"  "SS2_15_0048_L6"  "SS2_15_0048_L7"  "SS2_15_0048_L8" 
## [273] "SS2_15_0048_L9"  "SS2_15_0048_L10" "SS2_15_0048_L11" "SS2_15_0048_L12"
## [277] "SS2_15_0048_L13" "SS2_15_0048_L14" "SS2_15_0048_L15" "SS2_15_0048_L16"
## [281] "SS2_15_0048_L17" "SS2_15_0048_L18" "SS2_15_0048_L19" "SS2_15_0048_L20"
## [285] "SS2_15_0048_L21" "SS2_15_0048_L22" "SS2_15_0048_L23" "SS2_15_0048_L24"
## [289] "SS2_15_0048_M1"  "SS2_15_0048_M2"  "SS2_15_0048_M3"  "SS2_15_0048_M4" 
## [293] "SS2_15_0048_M5"  "SS2_15_0048_M6"  "SS2_15_0048_M7"  "SS2_15_0048_M8" 
## [297] "SS2_15_0048_M9"  "SS2_15_0048_M10" "SS2_15_0048_M11" "SS2_15_0048_M12"
## [301] "SS2_15_0048_M13" "SS2_15_0048_M14" "SS2_15_0048_M15" "SS2_15_0048_M16"
## [305] "SS2_15_0048_M17" "SS2_15_0048_M18" "SS2_15_0048_M19" "SS2_15_0048_M20"
## [309] "SS2_15_0048_M21" "SS2_15_0048_M22" "SS2_15_0048_M23" "SS2_15_0048_M24"
## [313] "SS2_15_0048_N1"  "SS2_15_0048_N2"  "SS2_15_0048_N3"  "SS2_15_0048_N4" 
## [317] "SS2_15_0048_N5"  "SS2_15_0048_N6"  "SS2_15_0048_N7"  "SS2_15_0048_N8" 
## [321] "SS2_15_0048_N9"  "SS2_15_0048_N10" "SS2_15_0048_N11" "SS2_15_0048_N12"
## [325] "SS2_15_0048_N13" "SS2_15_0048_N14" "SS2_15_0048_N15" "SS2_15_0048_N16"
## [329] "SS2_15_0048_N17" "SS2_15_0048_N18" "SS2_15_0048_N19" "SS2_15_0048_N20"
## [333] "SS2_15_0048_N21" "SS2_15_0048_N22" "SS2_15_0048_N23" "SS2_15_0048_N24"
## [337] "SS2_15_0048_O1"  "SS2_15_0048_O2"  "SS2_15_0048_O3"  "SS2_15_0048_O4" 
## [341] "SS2_15_0048_O5"  "SS2_15_0048_O6"  "SS2_15_0048_O7"  "SS2_15_0048_O8" 
## [345] "SS2_15_0048_O9"  "SS2_15_0048_O10" "SS2_15_0048_O11" "SS2_15_0048_O12"
## [349] "SS2_15_0048_O13" "SS2_15_0048_O14" "SS2_15_0048_O15" "SS2_15_0048_O16"
## [353] "SS2_15_0048_O17" "SS2_15_0048_O18" "SS2_15_0048_O19" "SS2_15_0048_O20"
## [357] "SS2_15_0048_O21" "SS2_15_0048_O22" "SS2_15_0048_O23" "SS2_15_0048_O24"
## [361] "SS2_15_0048_P1"  "SS2_15_0048_P2"  "SS2_15_0048_P3"  "SS2_15_0048_P4" 
## [365] "SS2_15_0048_P5"  "SS2_15_0048_P6"  "SS2_15_0048_P7"  "SS2_15_0048_P8" 
## [369] "SS2_15_0048_P9"  "SS2_15_0048_P10" "SS2_15_0048_P11" "SS2_15_0048_P12"
## [373] "SS2_15_0048_P13" "SS2_15_0048_P14" "SS2_15_0048_P15" "SS2_15_0048_P16"
## [377] "SS2_15_0048_P17" "SS2_15_0048_P18" "SS2_15_0048_P19" "SS2_15_0048_P20"
## [381] "SS2_15_0048_P21" "SS2_15_0048_P22" "SS2_15_0048_P23" "SS2_15_0048_P24"
## [385] "SS2_15_0049_A1"  "SS2_15_0049_A2"  "SS2_15_0049_A3"  "SS2_15_0049_A4" 
## [389] "SS2_15_0049_A5"  "SS2_15_0049_A6"  "SS2_15_0049_A7"  "SS2_15_0049_A8" 
## [393] "SS2_15_0049_A9"  "SS2_15_0049_A10" "SS2_15_0049_A11" "SS2_15_0049_A12"
## [397] "SS2_15_0049_A13" "SS2_15_0049_A14" "SS2_15_0049_A15" "SS2_15_0049_A16"
## [401] "SS2_15_0049_A17" "SS2_15_0049_A18" "SS2_15_0049_A19" "SS2_15_0049_A20"
## [405] "SS2_15_0049_A21" "SS2_15_0049_A22" "SS2_15_0049_A23" "SS2_15_0049_A24"
## [409] "SS2_15_0049_B1"  "SS2_15_0049_B2"  "SS2_15_0049_B3"  "SS2_15_0049_B4" 
## [413] "SS2_15_0049_B5"  "SS2_15_0049_B6"  "SS2_15_0049_B7"  "SS2_15_0049_B8" 
## [417] "SS2_15_0049_B9"  "SS2_15_0049_B10" "SS2_15_0049_B11" "SS2_15_0049_B12"
## [421] "SS2_15_0049_B13" "SS2_15_0049_B14" "SS2_15_0049_B15" "SS2_15_0049_B16"
## [425] "SS2_15_0049_B17" "SS2_15_0049_B18" "SS2_15_0049_B19" "SS2_15_0049_B20"
## [429] "SS2_15_0049_B21" "SS2_15_0049_B22" "SS2_15_0049_B23" "SS2_15_0049_B24"
## [433] "SS2_15_0049_C1"  "SS2_15_0049_C2"  "SS2_15_0049_C3"  "SS2_15_0049_C4" 
## [437] "SS2_15_0049_C5"  "SS2_15_0049_C6"  "SS2_15_0049_C7"  "SS2_15_0049_C8" 
## [441] "SS2_15_0049_C9"  "SS2_15_0049_C10" "SS2_15_0049_C11" "SS2_15_0049_C12"
## [445] "SS2_15_0049_C13" "SS2_15_0049_C14" "SS2_15_0049_C15" "SS2_15_0049_C16"
## [449] "SS2_15_0049_C17" "SS2_15_0049_C18" "SS2_15_0049_C19" "SS2_15_0049_C20"
## [453] "SS2_15_0049_C21" "SS2_15_0049_C22" "SS2_15_0049_C23" "SS2_15_0049_C24"
## [457] "SS2_15_0049_D1"  "SS2_15_0049_D2"  "SS2_15_0049_D3"  "SS2_15_0049_D4" 
## [461] "SS2_15_0049_D5"  "SS2_15_0049_D6"  "SS2_15_0049_D7"  "SS2_15_0049_D8" 
## [465] "SS2_15_0049_D9"  "SS2_15_0049_D10" "SS2_15_0049_D11" "SS2_15_0049_D12"
## [469] "SS2_15_0049_D13" "SS2_15_0049_D14" "SS2_15_0049_D15" "SS2_15_0049_D16"
## [473] "SS2_15_0049_D17" "SS2_15_0049_D18" "SS2_15_0049_D19" "SS2_15_0049_D20"
## [477] "SS2_15_0049_D21" "SS2_15_0049_D22" "SS2_15_0049_D23" "SS2_15_0049_D24"
## [481] "SS2_15_0049_E1"  "SS2_15_0049_E2"  "SS2_15_0049_E3"  "SS2_15_0049_E4" 
## [485] "SS2_15_0049_E5"  "SS2_15_0049_E6"  "SS2_15_0049_E7"  "SS2_15_0049_E8" 
## [489] "SS2_15_0049_E9"  "SS2_15_0049_E10" "SS2_15_0049_E11" "SS2_15_0049_E12"
## [493] "SS2_15_0049_E13" "SS2_15_0049_E14" "SS2_15_0049_E15" "SS2_15_0049_E16"
## [497] "SS2_15_0049_E17" "SS2_15_0049_E18" "SS2_15_0049_E19" "SS2_15_0049_E20"
## [501] "SS2_15_0049_E21" "SS2_15_0049_E22" "SS2_15_0049_E23" "SS2_15_0049_E24"
## [505] "SS2_15_0049_F1"  "SS2_15_0049_F2"  "SS2_15_0049_F3"  "SS2_15_0049_F4" 
## [509] "SS2_15_0049_F5"  "SS2_15_0049_F6"  "SS2_15_0049_F7"  "SS2_15_0049_F8" 
## [513] "SS2_15_0049_F9"  "SS2_15_0049_F10" "SS2_15_0049_F11" "SS2_15_0049_F12"
## [517] "SS2_15_0049_F13" "SS2_15_0049_F14" "SS2_15_0049_F15" "SS2_15_0049_F16"
## [521] "SS2_15_0049_F17" "SS2_15_0049_F18" "SS2_15_0049_F19" "SS2_15_0049_F20"
## [525] "SS2_15_0049_F21" "SS2_15_0049_F22" "SS2_15_0049_F23" "SS2_15_0049_F24"
## [529] "SS2_15_0049_G1"  "SS2_15_0049_G2"  "SS2_15_0049_G3"  "SS2_15_0049_G4" 
## [533] "SS2_15_0049_G5"  "SS2_15_0049_G6"  "SS2_15_0049_G7"  "SS2_15_0049_G8" 
## [537] "SS2_15_0049_G9"  "SS2_15_0049_G10" "SS2_15_0049_G11" "SS2_15_0049_G12"
## [541] "SS2_15_0049_G13" "SS2_15_0049_G14" "SS2_15_0049_G15" "SS2_15_0049_G16"
## [545] "SS2_15_0049_G17" "SS2_15_0049_G18" "SS2_15_0049_G19" "SS2_15_0049_G20"
## [549] "SS2_15_0049_G21" "SS2_15_0049_G22" "SS2_15_0049_G23" "SS2_15_0049_G24"
## [553] "SS2_15_0049_H1"  "SS2_15_0049_H2"  "SS2_15_0049_H3"  "SS2_15_0049_H4" 
## [557] "SS2_15_0049_H5"  "SS2_15_0049_H6"  "SS2_15_0049_H7"  "SS2_15_0049_H8" 
## [561] "SS2_15_0049_H9"  "SS2_15_0049_H10" "SS2_15_0049_H11" "SS2_15_0049_H12"
## [565] "SS2_15_0049_H13" "SS2_15_0049_H14" "SS2_15_0049_H15" "SS2_15_0049_H16"
## [569] "SS2_15_0049_H17" "SS2_15_0049_H18" "SS2_15_0049_H19" "SS2_15_0049_H20"
## [573] "SS2_15_0049_H21" "SS2_15_0049_H22" "SS2_15_0049_H23" "SS2_15_0049_H24"
## [577] "SS2_15_0049_I1"  "SS2_15_0049_I2"  "SS2_15_0049_I3"  "SS2_15_0049_I4" 
## [581] "SS2_15_0049_I5"  "SS2_15_0049_I6"  "SS2_15_0049_I7"  "SS2_15_0049_I8" 
## [585] "SS2_15_0049_I9"  "SS2_15_0049_I10" "SS2_15_0049_I11" "SS2_15_0049_I12"
## [589] "SS2_15_0049_I13" "SS2_15_0049_I14" "SS2_15_0049_I15" "SS2_15_0049_I16"
## [593] "SS2_15_0049_I17" "SS2_15_0049_I18" "SS2_15_0049_I19" "SS2_15_0049_I20"
## [597] "SS2_15_0049_I21" "SS2_15_0049_I22" "SS2_15_0049_I23" "SS2_15_0049_I24"
## [601] "SS2_15_0049_J1"  "SS2_15_0049_J2"  "SS2_15_0049_J3"  "SS2_15_0049_J4" 
## [605] "SS2_15_0049_J5"  "SS2_15_0049_J6"  "SS2_15_0049_J7"  "SS2_15_0049_J8" 
## [609] "SS2_15_0049_J9"  "SS2_15_0049_J10" "SS2_15_0049_J11" "SS2_15_0049_J12"
## [613] "SS2_15_0049_J13" "SS2_15_0049_J14" "SS2_15_0049_J15" "SS2_15_0049_J16"
## [617] "SS2_15_0049_J17" "SS2_15_0049_J18" "SS2_15_0049_J19" "SS2_15_0049_J20"
## [621] "SS2_15_0049_J21" "SS2_15_0049_J22" "SS2_15_0049_J23" "SS2_15_0049_J24"
## [625] "SS2_15_0049_K1"  "SS2_15_0049_K2"  "SS2_15_0049_K3"  "SS2_15_0049_K4" 
## [629] "SS2_15_0049_K5"  "SS2_15_0049_K6"  "SS2_15_0049_K7"  "SS2_15_0049_K8" 
## [633] "SS2_15_0049_K9"  "SS2_15_0049_K10" "SS2_15_0049_K11" "SS2_15_0049_K12"
## [637] "SS2_15_0049_K13" "SS2_15_0049_K14" "SS2_15_0049_K15" "SS2_15_0049_K16"
## [641] "SS2_15_0049_K17" "SS2_15_0049_K18" "SS2_15_0049_K19" "SS2_15_0049_K20"
## [645] "SS2_15_0049_K21" "SS2_15_0049_K22" "SS2_15_0049_K23" "SS2_15_0049_K24"
## [649] "SS2_15_0049_L1"  "SS2_15_0049_L2"  "SS2_15_0049_L3"  "SS2_15_0049_L4" 
## [653] "SS2_15_0049_L5"  "SS2_15_0049_L6"  "SS2_15_0049_L7"  "SS2_15_0049_L8" 
## [657] "SS2_15_0049_L9"  "SS2_15_0049_L10" "SS2_15_0049_L11" "SS2_15_0049_L12"
## [661] "SS2_15_0049_L13" "SS2_15_0049_L14" "SS2_15_0049_L15" "SS2_15_0049_L16"
## [665] "SS2_15_0049_L17" "SS2_15_0049_L18" "SS2_15_0049_L19" "SS2_15_0049_L20"
## [669] "SS2_15_0049_L21" "SS2_15_0049_L22" "SS2_15_0049_L23" "SS2_15_0049_L24"
## [673] "SS2_15_0049_M1"  "SS2_15_0049_M2"  "SS2_15_0049_M3"  "SS2_15_0049_M4" 
## [677] "SS2_15_0049_M5"  "SS2_15_0049_M6"  "SS2_15_0049_M7"  "SS2_15_0049_M8" 
## [681] "SS2_15_0049_M9"  "SS2_15_0049_M10" "SS2_15_0049_M11" "SS2_15_0049_M12"
## [685] "SS2_15_0049_M13" "SS2_15_0049_M14" "SS2_15_0049_M15" "SS2_15_0049_M16"
## [689] "SS2_15_0049_M17" "SS2_15_0049_M18" "SS2_15_0049_M19" "SS2_15_0049_M20"
## [693] "SS2_15_0049_M21" "SS2_15_0049_M22" "SS2_15_0049_M23" "SS2_15_0049_M24"
## [697] "SS2_15_0049_N1"  "SS2_15_0049_N2"  "SS2_15_0049_N3"  "SS2_15_0049_N4" 
## [701] "SS2_15_0049_N5"  "SS2_15_0049_N6"  "SS2_15_0049_N7"  "SS2_15_0049_N8" 
## [705] "SS2_15_0049_N9"  "SS2_15_0049_N10" "SS2_15_0049_N11" "SS2_15_0049_N12"
## [709] "SS2_15_0049_N13" "SS2_15_0049_N14" "SS2_15_0049_N15" "SS2_15_0049_N16"
## [713] "SS2_15_0049_N17" "SS2_15_0049_N18" "SS2_15_0049_N19" "SS2_15_0049_N20"
## [717] "SS2_15_0049_N21" "SS2_15_0049_N22" "SS2_15_0049_N23" "SS2_15_0049_N24"
## [721] "SS2_15_0049_O1"  "SS2_15_0049_O2"  "SS2_15_0049_O3"  "SS2_15_0049_O4" 
## [725] "SS2_15_0049_O5"  "SS2_15_0049_O6"  "SS2_15_0049_O7"  "SS2_15_0049_O8" 
## [729] "SS2_15_0049_O9"  "SS2_15_0049_O10" "SS2_15_0049_O11" "SS2_15_0049_O12"
## [733] "SS2_15_0049_O13" "SS2_15_0049_O14" "SS2_15_0049_O15" "SS2_15_0049_O16"
## [737] "SS2_15_0049_O17" "SS2_15_0049_O18" "SS2_15_0049_O19" "SS2_15_0049_O20"
## [741] "SS2_15_0049_O21" "SS2_15_0049_O22" "SS2_15_0049_O23" "SS2_15_0049_O24"
## [745] "SS2_15_0049_P1"  "SS2_15_0049_P2"  "SS2_15_0049_P3"  "SS2_15_0049_P4" 
## [749] "SS2_15_0049_P5"  "SS2_15_0049_P6"  "SS2_15_0049_P7"  "SS2_15_0049_P8" 
## [753] "SS2_15_0049_P9"  "SS2_15_0049_P10" "SS2_15_0049_P11" "SS2_15_0049_P12"
## [757] "SS2_15_0049_P13" "SS2_15_0049_P14" "SS2_15_0049_P15" "SS2_15_0049_P16"
## [761] "SS2_15_0049_P17" "SS2_15_0049_P18" "SS2_15_0049_P19" "SS2_15_0049_P20"
## [765] "SS2_15_0049_P21" "SS2_15_0049_P22" "SS2_15_0049_P23" "SS2_15_0049_P24"
代码语言:text
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class(title)
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## [1] "character"
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plate=unlist(lapply(title, function(x){
  x
  strsplit(x,'_')[[1]][3]
}))
plate
代码语言:txt
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##   [1] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
##  [13] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
##  [25] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
##  [37] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
##  [49] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
##  [61] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
##  [73] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
##  [85] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
##  [97] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [109] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [121] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [133] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [145] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [157] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [169] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [181] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [193] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [205] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [217] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [229] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [241] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [253] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [265] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [277] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [289] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [301] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [313] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [325] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [337] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [349] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [361] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [373] "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048" "0048"
## [385] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [397] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [409] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [421] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [433] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [445] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [457] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [469] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [481] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [493] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [505] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [517] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [529] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [541] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [553] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [565] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [577] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [589] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [601] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [613] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [625] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [637] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [649] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [661] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [673] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [685] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [697] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [709] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [721] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [733] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [745] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
## [757] "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049" "0049"
代码语言:text
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class(plate)
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## [1] "character"
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table(plate)
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## plate
## 0048 0049 
##  384  384
代码语言:text
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#11.根据plate把关联到的 RunInfo Table 信息的MBases列分组检验是否有统计学显著的差异。
t.test(merge$MBases~plate)
代码语言:txt
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## 
## 	Welch Two Sample t-test
## 
## data:  merge$MBases by plate
## t = 2.3019, df = 728.18, p-value = 0.02162
## alternative hypothesis: true difference in means between group 0048 and group 0049 is not equal to 0
## 95 percent confidence interval:
##  0.1574805 1.9831445
## sample estimates:
## mean in group 0048 mean in group 0049 
##           13.08854           12.01823
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#12.分组绘制箱线图(boxplot),频数图(hist),以及密度图(density) 。
boxplot(data~plate)
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hist(data,freq = F, breaks = "sturges")

undefined(figure/unnamed-chunk-4-6.png

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plot(density(data))
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#na.rm=T移除缺失值。
#13.使用ggplot2把上面的图进行重新绘制。
library(ggplot2)
#箱式图
p1= ggplot(merge, aes(x=plate, y=MBases)) + 
  geom_boxplot()
p1
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#直方图
p2=ggplot(merge, aes(x=MBases,fill=plate)) + geom_histogram(binwidth=.5)
p2
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merge$plate=plate
merge$plate=factor(merge$plate)
#将plate转换为因子类型.
merge$plate
代码语言:txt
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##   [1] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
##  [18] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
##  [35] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
##  [52] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
##  [69] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
##  [86] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [103] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [120] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [137] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [154] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [171] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [188] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [205] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [222] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [239] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [256] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [273] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [290] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [307] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [324] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [341] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [358] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048
## [375] 0048 0048 0048 0048 0048 0048 0048 0048 0048 0048 0049 0049 0049 0049 0049 0049 0049
## [392] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [409] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [426] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [443] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [460] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [477] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [494] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [511] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [528] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [545] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [562] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [579] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [596] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [613] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [630] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [647] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [664] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [681] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [698] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [715] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [732] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [749] 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049 0049
## [766] 0049 0049 0049
## Levels: 0048 0049
代码语言:text
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p3=ggplot(merge,aes(x=MBases))+
  geom_histogram(fill='lightblue',colour='black')+
  facet_grid(plate ~ .) 
p3
代码语言:text
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#密度图
p4=ggplot(merge,aes(x=MBases)) +
   geom_density(fill="#4D9DDA", color="#4D9DDA", alpha=0.8)+
  facet_grid(plate ~ .) 
p4
代码语言:text
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#13.使用ggpubr把上面的图进行重新绘制。
#箱式图
library(ggpubr)
p5=ggboxplot(merge, x = "plate", y = "MBases", width = 0.8)
p5
代码语言:text
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p10=ggboxplot(merge, x="plate", y="MBases", color = "plate", palette = "aaas",add = "jitter") + stat_compare_means(method = "t.test")
p10
代码语言:text
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#直方图
p6=gghistogram(merge, x="MBases", fill ="plate")
p6
代码语言:text
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#密度图
p7=ggdensity(merge, x = "MBases", fill = "plate", add = "mean", rug = TRUE)
p7
代码语言:text
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#14、随机取384个MBases信息,跟前面的两个plate的信息组合成新的数据框,第一列是分组,第二列是MBases,总共是384*3行数据。
data=merge[sample(nrow(merge),384),][,c(43,15,2)]
data
代码语言:txt
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##     plate MBases           Title
## 616  0049     14 SS2_15_0049_J16
## 647  0049      4 SS2_15_0049_K23
## 744  0049      4 SS2_15_0049_O24
## 579  0049     10  SS2_15_0049_I3
## 80   0048     16  SS2_15_0048_D8
## 637  0049     20 SS2_15_0049_K13
## 564  0049     19 SS2_15_0049_H12
## 346  0048     19 SS2_15_0048_O10
## 282  0048      9 SS2_15_0048_L18
## 265  0048     13  SS2_15_0048_L1
## 263  0048     16 SS2_15_0048_K23
## 273  0048      7  SS2_15_0048_L9
## 201  0048     17  SS2_15_0048_I9
## 457  0049     11  SS2_15_0049_D1
## 715  0049      9 SS2_15_0049_N19
## 433  0049      6  SS2_15_0049_C1
## 35   0048      8 SS2_15_0048_B11
## 186  0048     16 SS2_15_0048_H18
## 247  0048     25  SS2_15_0048_K7
## 422  0049      8 SS2_15_0049_B14
## 166  0048     24 SS2_15_0048_G22
## 480  0049     14 SS2_15_0049_D24
## 96   0048     27 SS2_15_0048_D24
## 611  0049      4 SS2_15_0049_J11
## 32   0048      6  SS2_15_0048_B8
## 98   0048      4  SS2_15_0048_E2
## 199  0048     15  SS2_15_0048_I7
## 57   0048     13  SS2_15_0048_C9
## 621  0049     20 SS2_15_0049_J21
## 134  0048     11 SS2_15_0048_F14
## 663  0049      2 SS2_15_0049_L15
## 47   0048     13 SS2_15_0048_B23
## 377  0048      9 SS2_15_0048_P17
## 553  0049      9  SS2_15_0049_H1
## 333  0048     12 SS2_15_0048_N21
## 460  0049     10  SS2_15_0049_D4
## 655  0049     12  SS2_15_0049_L7
## 185  0048      3 SS2_15_0048_H17
## 654  0049      2  SS2_15_0049_L6
## 31   0048     12  SS2_15_0048_B7
## 704  0049      3  SS2_15_0049_N8
## 155  0048     26 SS2_15_0048_G11
## 648  0049      1 SS2_15_0049_K24
## 466  0049     16 SS2_15_0049_D10
## 222  0048     10  SS2_15_0048_J6
## 731  0049     11 SS2_15_0049_O11
## 184  0048     20 SS2_15_0048_H16
## 727  0049      7  SS2_15_0049_O7
## 142  0048     19 SS2_15_0048_F22
## 560  0049     12  SS2_15_0049_H8
## 606  0049      3  SS2_15_0049_J6
## 309  0048     24 SS2_15_0048_M21
## 499  0049     16 SS2_15_0049_E19
## 42   0048      9 SS2_15_0048_B18
## 209  0048      7 SS2_15_0048_I17
## 77   0048     12  SS2_15_0048_D5
## 643  0049     12 SS2_15_0049_K19
## 496  0049     19 SS2_15_0049_E16
## 627  0049     12  SS2_15_0049_K3
## 642  0049     74 SS2_15_0049_K18
## 401  0049     11 SS2_15_0049_A17
## 432  0049      8 SS2_15_0049_B24
## 761  0049     10 SS2_15_0049_P17
## 411  0049     13  SS2_15_0049_B3
## 690  0049     36 SS2_15_0049_M18
## 277  0048      5 SS2_15_0048_L13
## 739  0049     12 SS2_15_0049_O19
## 675  0049     20  SS2_15_0049_M3
## 336  0048      3 SS2_15_0048_N24
## 355  0048     19 SS2_15_0048_O19
## 767  0049     11 SS2_15_0049_P23
## 502  0049     25 SS2_15_0049_E22
## 340  0048      8  SS2_15_0048_O4
## 145  0048     21  SS2_15_0048_G1
## 306  0048     17 SS2_15_0048_M18
## 312  0048      3 SS2_15_0048_M24
## 78   0048     16  SS2_15_0048_D6
## 397  0049     17 SS2_15_0049_A13
## 391  0049     14  SS2_15_0049_A7
## 294  0048     15  SS2_15_0048_M6
## 471  0049      7 SS2_15_0049_D15
## 450  0049     14 SS2_15_0049_C18
## 124  0048     11  SS2_15_0048_F4
## 213  0048     12 SS2_15_0048_I21
## 699  0049     11  SS2_15_0049_N3
## 21   0048     15 SS2_15_0048_A21
## 414  0049      9  SS2_15_0049_B6
## 187  0048     19 SS2_15_0048_H19
## 504  0049     17 SS2_15_0049_E24
## 665  0049      6 SS2_15_0049_L17
## 7    0048     18  SS2_15_0048_A7
## 623  0049     15 SS2_15_0049_J23
## 510  0049      6  SS2_15_0049_F6
## 352  0048     11 SS2_15_0048_O16
## 69   0048     14 SS2_15_0048_C21
## 532  0049     16  SS2_15_0049_G4
## 302  0048     11 SS2_15_0048_M14
## 710  0049      5 SS2_15_0049_N14
## 319  0048     19  SS2_15_0048_N7
## 652  0049      8  SS2_15_0049_L4
## 661  0049     11 SS2_15_0049_L13
## 93   0048     15 SS2_15_0048_D21
## 581  0049     13  SS2_15_0049_I5
## 474  0049      8 SS2_15_0049_D18
## 473  0049     10 SS2_15_0049_D17
## 409  0049      8  SS2_15_0049_B1
## 516  0049     18 SS2_15_0049_F12
## 235  0048     16 SS2_15_0048_J19
## 230  0048      7 SS2_15_0048_J14
## 192  0048     15 SS2_15_0048_H24
## 390  0049      7  SS2_15_0049_A6
## 234  0048     13 SS2_15_0048_J18
## 434  0049      7  SS2_15_0049_C2
## 195  0048     12  SS2_15_0048_I3
## 354  0048     15 SS2_15_0048_O18
## 444  0049     21 SS2_15_0049_C12
## 576  0049     21 SS2_15_0049_H24
## 290  0048     10  SS2_15_0048_M2
## 231  0048     12 SS2_15_0048_J15
## 628  0049      2  SS2_15_0049_K4
## 573  0049     20 SS2_15_0049_H21
## 500  0049      3 SS2_15_0049_E20
## 644  0049     10 SS2_15_0049_K20
## 315  0048      5  SS2_15_0048_N3
## 765  0049     11 SS2_15_0049_P21
## 492  0049     19 SS2_15_0049_E12
## 418  0049      4 SS2_15_0049_B10
## 232  0048     19 SS2_15_0048_J16
## 114  0048     17 SS2_15_0048_E18
## 527  0049     15 SS2_15_0049_F23
## 596  0049      8 SS2_15_0049_I20
## 626  0049      6  SS2_15_0049_K2
## 300  0048     18 SS2_15_0048_M12
## 591  0049      9 SS2_15_0049_I15
## 497  0049      4 SS2_15_0049_E17
## 353  0048     11 SS2_15_0048_O17
## 191  0048     25 SS2_15_0048_H23
## 143  0048     17 SS2_15_0048_F23
## 197  0048     15  SS2_15_0048_I5
## 599  0049     14 SS2_15_0049_I23
## 759  0049      4 SS2_15_0049_P15
## 709  0049     11 SS2_15_0049_N13
## 514  0049      8 SS2_15_0049_F10
## 501  0049     16 SS2_15_0049_E21
## 613  0049     18 SS2_15_0049_J13
## 419  0049     12 SS2_15_0049_B11
## 525  0049     17 SS2_15_0049_F21
## 533  0049     13  SS2_15_0049_G5
## 461  0049     13  SS2_15_0049_D5
## 384  0048      4 SS2_15_0048_P24
## 181  0048     13 SS2_15_0048_H13
## 467  0049      4 SS2_15_0049_D11
## 74   0048     12  SS2_15_0048_D2
## 159  0048     10 SS2_15_0048_G15
## 111  0048     16 SS2_15_0048_E15
## 505  0049      6  SS2_15_0049_F1
## 507  0049     15  SS2_15_0049_F3
## 4    0048      8  SS2_15_0048_A4
## 518  0049      6 SS2_15_0049_F14
## 218  0048     11  SS2_15_0048_J2
## 108  0048     18 SS2_15_0048_E12
## 267  0048     11  SS2_15_0048_L3
## 706  0049      7 SS2_15_0049_N10
## 431  0049     11 SS2_15_0049_B23
## 29   0048      8  SS2_15_0048_B5
## 180  0048     21 SS2_15_0048_H12
## 292  0048     11  SS2_15_0048_M4
## 6    0048      7  SS2_15_0048_A6
## 674  0049     17  SS2_15_0049_M2
## 441  0049     14  SS2_15_0049_C9
## 68   0048     13 SS2_15_0048_C20
## 598  0049     17 SS2_15_0049_I22
## 551  0049     11 SS2_15_0049_G23
## 717  0049      2 SS2_15_0049_N21
## 472  0049     14 SS2_15_0049_D16
## 708  0049     11 SS2_15_0049_N12
## 119  0048     14 SS2_15_0048_E23
## 54   0048     13  SS2_15_0048_C6
## 92   0048      3 SS2_15_0048_D20
## 303  0048     14 SS2_15_0048_M15
## 318  0048     11  SS2_15_0048_N6
## 90   0048      8 SS2_15_0048_D18
## 732  0049     10 SS2_15_0049_O12
## 487  0049     16  SS2_15_0049_E7
## 454  0049     19 SS2_15_0049_C22
## 316  0048     10  SS2_15_0048_N4
## 671  0049      2 SS2_15_0049_L23
## 600  0049      3 SS2_15_0049_I24
## 383  0048     10 SS2_15_0048_P23
## 534  0049     19  SS2_15_0049_G6
## 43   0048      9 SS2_15_0048_B19
## 485  0049     19  SS2_15_0049_E5
## 13   0048     14 SS2_15_0048_A13
## 424  0049      7 SS2_15_0049_B16
## 86   0048     11 SS2_15_0048_D14
## 557  0049     17  SS2_15_0049_H5
## 284  0048     16 SS2_15_0048_L20
## 410  0049      6  SS2_15_0049_B2
## 635  0049     15 SS2_15_0049_K11
## 571  0049     20 SS2_15_0049_H19
## 347  0048      8 SS2_15_0048_O11
## 208  0048     16 SS2_15_0048_I16
## 255  0048     16 SS2_15_0048_K15
## 226  0048     12 SS2_15_0048_J10
## 629  0049      2  SS2_15_0049_K5
## 194  0048     13  SS2_15_0048_I2
## 705  0049      2  SS2_15_0049_N9
## 688  0049     61 SS2_15_0049_M16
## 670  0049     16 SS2_15_0049_L22
## 602  0049      9  SS2_15_0049_J2
## 757  0049     13 SS2_15_0049_P13
## 435  0049     17  SS2_15_0049_C3
## 139  0048     17 SS2_15_0048_F19
## 741  0049     16 SS2_15_0049_O21
## 105  0048     20  SS2_15_0048_E9
## 388  0049      5  SS2_15_0049_A4
## 475  0049     15 SS2_15_0049_D19
## 498  0049      3 SS2_15_0049_E18
## 59   0048     19 SS2_15_0048_C11
## 468  0049     17 SS2_15_0049_D12
## 679  0049     10  SS2_15_0049_M7
## 719  0049     11 SS2_15_0049_N23
## 130  0048     18 SS2_15_0048_F10
## 540  0049     27 SS2_15_0049_G12
## 737  0049     10 SS2_15_0049_O17
## 94   0048     13 SS2_15_0048_D22
## 682  0049     24 SS2_15_0049_M10
## 701  0049      8  SS2_15_0049_N5
## 288  0048      2 SS2_15_0048_L24
## 399  0049     10 SS2_15_0049_A15
## 324  0048     10 SS2_15_0048_N12
## 664  0049      7 SS2_15_0049_L16
## 677  0049      5  SS2_15_0049_M5
## 745  0049      2  SS2_15_0049_P1
## 342  0048     16  SS2_15_0048_O6
## 196  0048      8  SS2_15_0048_I4
## 470  0049      7 SS2_15_0049_D14
## 582  0049     13  SS2_15_0049_I6
## 766  0049     15 SS2_15_0049_P22
## 703  0049     10  SS2_15_0049_N7
## 278  0048      9 SS2_15_0048_L14
## 718  0049     11 SS2_15_0049_N22
## 692  0049      4 SS2_15_0049_M20
## 687  0049     12 SS2_15_0049_M15
## 40   0048     14 SS2_15_0048_B16
## 107  0048     12 SS2_15_0048_E11
## 402  0049     10 SS2_15_0049_A18
## 477  0049     17 SS2_15_0049_D21
## 18   0048     13 SS2_15_0048_A18
## 149  0048      4  SS2_15_0048_G5
## 323  0048     15 SS2_15_0048_N11
## 30   0048      5  SS2_15_0048_B6
## 264  0048      6 SS2_15_0048_K24
## 520  0049     14 SS2_15_0049_F16
## 14   0048     13 SS2_15_0048_A14
## 601  0049      7  SS2_15_0049_J1
## 762  0049     11 SS2_15_0049_P18
## 506  0049     11  SS2_15_0049_F2
## 641  0049     17 SS2_15_0049_K17
## 291  0048     19  SS2_15_0048_M3
## 221  0048     19  SS2_15_0048_J5
## 651  0049     13  SS2_15_0049_L3
## 223  0048      8  SS2_15_0048_J7
## 417  0049      6  SS2_15_0049_B9
## 459  0049     16  SS2_15_0049_D3
## 676  0049      5  SS2_15_0049_M4
## 279  0048      4 SS2_15_0048_L15
## 552  0049     19 SS2_15_0049_G24
## 469  0049     13 SS2_15_0049_D13
## 138  0048     13 SS2_15_0048_F18
## 585  0049     14  SS2_15_0049_I9
## 458  0049      7  SS2_15_0049_D2
## 295  0048     26  SS2_15_0048_M7
## 37   0048     13 SS2_15_0048_B13
## 515  0049     16 SS2_15_0049_F11
## 203  0048     19 SS2_15_0048_I11
## 73   0048     16  SS2_15_0048_D1
## 251  0048     23 SS2_15_0048_K11
## 344  0048      7  SS2_15_0048_O8
## 254  0048     16 SS2_15_0048_K14
## 691  0049     10 SS2_15_0049_M19
## 198  0048     13  SS2_15_0048_I6
## 167  0048     15 SS2_15_0048_G23
## 141  0048     23 SS2_15_0048_F21
## 378  0048     10 SS2_15_0048_P18
## 19   0048     20 SS2_15_0048_A19
## 361  0048     11  SS2_15_0048_P1
## 407  0049      9 SS2_15_0049_A23
## 112  0048     20 SS2_15_0048_E16
## 22   0048     13 SS2_15_0048_A22
## 246  0048      7  SS2_15_0048_K6
## 286  0048     11 SS2_15_0048_L22
## 176  0048     11  SS2_15_0048_H8
## 179  0048     15 SS2_15_0048_H11
## 394  0049     15 SS2_15_0049_A10
## 615  0049      9 SS2_15_0049_J15
## 494  0049     12 SS2_15_0049_E14
## 28   0048      7  SS2_15_0048_B4
## 531  0049     22  SS2_15_0049_G3
## 271  0048     13  SS2_15_0048_L7
## 556  0049      4  SS2_15_0049_H4
## 207  0048     12 SS2_15_0048_I15
## 243  0048     15  SS2_15_0048_K3
## 193  0048     11  SS2_15_0048_I1
## 385  0049      1  SS2_15_0049_A1
## 758  0049      3 SS2_15_0049_P14
## 603  0049     18  SS2_15_0049_J3
## 109  0048     20 SS2_15_0048_E13
## 529  0049     17  SS2_15_0049_G1
## 20   0048     12 SS2_15_0048_A20
## 380  0048      7 SS2_15_0048_P20
## 495  0049     14 SS2_15_0049_E15
## 586  0049     17 SS2_15_0049_I10
## 465  0049     18  SS2_15_0049_D9
## 634  0049     19 SS2_15_0049_K10
## 335  0048     15 SS2_15_0048_N23
## 215  0048     13 SS2_15_0048_I23
## 299  0048     15 SS2_15_0048_M11
## 269  0048     11  SS2_15_0048_L5
## 589  0049      7 SS2_15_0049_I13
## 365  0048     13  SS2_15_0048_P5
## 132  0048     19 SS2_15_0048_F12
## 11   0048     14 SS2_15_0048_A11
## 224  0048     11  SS2_15_0048_J8
## 400  0049     10 SS2_15_0049_A16
## 101  0048     10  SS2_15_0048_E5
## 305  0048     13 SS2_15_0048_M17
## 408  0049     12 SS2_15_0049_A24
## 430  0049     15 SS2_15_0049_B22
## 423  0049      4 SS2_15_0049_B15
## 754  0049     14 SS2_15_0049_P10
## 283  0048      6 SS2_15_0048_L19
## 285  0048      7 SS2_15_0048_L21
##  [ reached 'max' / getOption("max.print") -- omitted 51 rows ]
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class(data)
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## [1] "data.frame"
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str(data)
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## 'data.frame':	384 obs. of  3 variables:
##  $ plate : Factor w/ 2 levels "0048","0049": 2 2 2 2 1 2 2 1 1 1 ...
##  $ MBases: int  14 4 4 10 16 20 19 19 9 13 ...
##  $ Title : chr  "SS2_15_0049_J16" "SS2_15_0049_K23" "SS2_15_0049_O24" "SS2_15_0049_I3" ...
代码语言:text
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#str()函数的作用用英语来表示是:check classification of viriables,一般用于检查数据框当中有哪些数据

原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

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原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

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