将数据框转换为行向量或长向量
[英]Convert a data frame to into row vector or long vector
问题描述
I'm not sure what is the exact data type that is but when I see class It shows character and numeric.
我不确定确切的数据类型是什么，但是当我看到类时它显示字符和数字。
My intended data what I want to use small subset is this我想要使用的小子集的预期数据是这个
a <- dput(head(Age))
structure(list(Blast_Percentage = c(82L, 83L, 91L, 72L, 68L,
88L)), row.names = c("TCGA-AB-2856", "TCGA-AB-2849", "TCGA-AB-2971",
"TCGA-AB-2930", "TCGA-AB-2891", "TCGA-AB-2872"), class = "data.frame")
Second data frame第二个数据框
b <- dput(head(Sample_info))
structure(list(patient = structure(c(35L, 32L, 118L, 93L, 64L,
47L), .Label = c("TCGA-AB-2805", "TCGA-AB-2806", "TCGA-AB-2808",
"TCGA-AB-2810", "TCGA-AB-2811", "TCGA-AB-2812", "TCGA-AB-2813",
"TCGA-AB-2814", "TCGA-AB-2815", "TCGA-AB-2817", "TCGA-AB-2818",
"TCGA-AB-2819", "TCGA-AB-2820", "TCGA-AB-2821", "TCGA-AB-2822",
"TCGA-AB-2823", "TCGA-AB-2825", "TCGA-AB-2826", "TCGA-AB-2828",
"TCGA-AB-2830", "TCGA-AB-2834", "TCGA-AB-2835", "TCGA-AB-2836",
"TCGA-AB-2839", "TCGA-AB-2840", "TCGA-AB-2841", "TCGA-AB-2842",
"TCGA-AB-2844", "TCGA-AB-2845", "TCGA-AB-2846", "TCGA-AB-2847",
"TCGA-AB-2849", "TCGA-AB-2851", "TCGA-AB-2853", "TCGA-AB-2856",
"TCGA-AB-2858", "TCGA-AB-2859", "TCGA-AB-2861", "TCGA-AB-2862",
"TCGA-AB-2863", "TCGA-AB-2865", "TCGA-AB-2866", "TCGA-AB-2867",
"TCGA-AB-2869", "TCGA-AB-2870", "TCGA-AB-2871", "TCGA-AB-2872",
"TCGA-AB-2873", "TCGA-AB-2874", "TCGA-AB-2875", "TCGA-AB-2876",
"TCGA-AB-2877", "TCGA-AB-2878", "TCGA-AB-2880", "TCGA-AB-2881",
"TCGA-AB-2882", "TCGA-AB-2883", "TCGA-AB-2884", "TCGA-AB-2885",
"TCGA-AB-2886", "TCGA-AB-2888", "TCGA-AB-2889", "TCGA-AB-2890",
"TCGA-AB-2891", "TCGA-AB-2892", "TCGA-AB-2893", "TCGA-AB-2894",
"TCGA-AB-2895", "TCGA-AB-2896", "TCGA-AB-2897", "TCGA-AB-2898",
"TCGA-AB-2899", "TCGA-AB-2900", "TCGA-AB-2901", "TCGA-AB-2908",
"TCGA-AB-2910", "TCGA-AB-2911", "TCGA-AB-2912", "TCGA-AB-2913",
"TCGA-AB-2914", "TCGA-AB-2915", "TCGA-AB-2916", "TCGA-AB-2917",
"TCGA-AB-2918", "TCGA-AB-2919", "TCGA-AB-2920", "TCGA-AB-2921",
"TCGA-AB-2924", "TCGA-AB-2925", "TCGA-AB-2927", "TCGA-AB-2928",
"TCGA-AB-2929", "TCGA-AB-2930", "TCGA-AB-2931", "TCGA-AB-2932",
"TCGA-AB-2933", "TCGA-AB-2934", "TCGA-AB-2935", "TCGA-AB-2936",
"TCGA-AB-2937", "TCGA-AB-2939", "TCGA-AB-2940", "TCGA-AB-2942",
"TCGA-AB-2943", "TCGA-AB-2944", "TCGA-AB-2946", "TCGA-AB-2948",
"TCGA-AB-2949", "TCGA-AB-2950", "TCGA-AB-2952", "TCGA-AB-2955",
"TCGA-AB-2956", "TCGA-AB-2959", "TCGA-AB-2963", "TCGA-AB-2965",
"TCGA-AB-2966", "TCGA-AB-2970", "TCGA-AB-2971", "TCGA-AB-2973",
"TCGA-AB-2975", "TCGA-AB-2976", "TCGA-AB-2977", "TCGA-AB-2979",
"TCGA-AB-2980", "TCGA-AB-2981", "TCGA-AB-2982", "TCGA-AB-2983",
"TCGA-AB-2984", "TCGA-AB-2986", "TCGA-AB-2987", "TCGA-AB-2988",
"TCGA-AB-2990", "TCGA-AB-2991", "TCGA-AB-2992", "TCGA-AB-2994",
"TCGA-AB-2995", "TCGA-AB-2996", "TCGA-AB-2998", "TCGA-AB-2999",
"TCGA-AB-3000", "TCGA-AB-3001", "TCGA-AB-3002", "TCGA-AB-3007",
"TCGA-AB-3008", "TCGA-AB-3009", "TCGA-AB-3011", "TCGA-AB-3012"
), class = "factor"), FAB = structure(c(5L, 1L, 5L, 3L, 2L, 4L
), .Label = c("M0", "M1", "M2", "M3", "M4", "M5"), class = "factor")), row.names = c(NA,
6L), class = "data.frame")
The way I want to turn this data frame is into this我想把这个数据框变成这个
> age
s1 s2 s3 s4 s5 s6 s7 s8 s9 s10 s11 s12 s13 s14 s15 s16 s17 s18 s19 s20 s21 s22 s23 s24 s25 s26 s27 s28 s29 s30 s31 s32 s33 s34 s35 s36 s37 s38
2 2 5 11 20 32 61 93 93 144 232 303 649 654 904 2 2 5 11 20 32 61 93 93 144 232 303 649 654 904 904 2 2 5 11 20 32 61
s39 s40 s41 s42 s43 s44 s45 s46 s47 s48 s49 s50 s51 s52 s53 s54 s55 s56 s57 s58 s59 s60 s61 s62 s63
93 93 144 232 303 649 654 904 904 2 2 5 11 20 32 61 93 93 144 232 303 649 654 904 904
> class(age)
[1] "numeric"
and the other one would be for the second data frame it should look like this另一个是第二个数据框，它应该看起来像这样
samp_tissue
s1 s2 s3 s4 s5 s6 s7 s8 s9 s10 s11 s12 s13 s14 s15 s16 s17
"Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Cortex" "Lung" "Lung"
s18 s19 s20 s21 s22 s23 s24 s25 s26 s27 s28 s29 s30 s31 s32 s33 s34
"Lung" "Lung" "Lung" "Lung" "Lung" "Lung" "Lung" "Lung" "Lung" "Lung" "Lung" "Lung" "Lung" "Lung" "Liver" "Liver" "Liver"
s35 s36 s37 s38 s39 s40 s41 s42 s43 s44 s45 s46 s47 s48 s49 s50 s51
"Liver" "Liver" "Liver" "Liver" "Liver" "Liver" "Liver" "Liver" "Liver" "Liver" "Liver" "Liver" "Liver" "Muscle" "Muscle" "Muscle" "Muscle"
s52 s53 s54 s55 s56 s57 s58 s59 s60 s61 s62 s63
"Muscle" "Muscle" "Muscle" "Muscle" "Muscle" "Muscle" "Muscle" "Muscle" "Muscle" "Muscle" "Muscle" "Muscle"
How to convert them into above type I would like to know.我想知道如何将它们转换为上述类型。
I tried to search but Im not sure about the right query to find what Im looking for我试图搜索，但我不确定找到我要查找的内容的正确查询
Possible solution what I got from this post我从这篇文章中得到的可能的解决方案
whatyouwant <- setNames( as.numeric(Age$Blast_Percentage),as.character(Age$patient))
class(whatyouwant)
what <- setNames( as.character(Sample_info$FAB),as.character(Age$patient))
class(what)
what
1 个解决方案
解决方案1
1 已采纳 2022-06-29 01:49:05
Your expected outcome is not clear to me (ie using your sample data, what should the final outcome be?), but perhaps you're looking for table() (my guess for "a") or deframe() from the tibble package :我不清楚您的预期结果（即使用您的样本数据，最终结果应该是什么？），但也许您正在寻找table() （我对“a”的猜测）或deframe()从 tibble 包：
library(tibble)
a <- structure(list(Blast_Percentage = c(82L, 83L, 91L, 72L, 68L,
88L)), row.names = c("TCGA-AB-2856", "TCGA-AB-2849", "TCGA-AB-2971",
"TCGA-AB-2930", "TCGA-AB-2891", "TCGA-AB-2872"), class = "data.frame")
b <- structure(list(patient = structure(c(35L, 32L, 118L, 93L, 64L,
47L), .Label = c("TCGA-AB-2805", "TCGA-AB-2806", "TCGA-AB-2808",
"TCGA-AB-2810", "TCGA-AB-2811", "TCGA-AB-2812", "TCGA-AB-2813",
"TCGA-AB-2814", "TCGA-AB-2815", "TCGA-AB-2817", "TCGA-AB-2818",
"TCGA-AB-2819", "TCGA-AB-2820", "TCGA-AB-2821", "TCGA-AB-2822",
"TCGA-AB-2823", "TCGA-AB-2825", "TCGA-AB-2826", "TCGA-AB-2828",
"TCGA-AB-2830", "TCGA-AB-2834", "TCGA-AB-2835", "TCGA-AB-2836",
"TCGA-AB-2839", "TCGA-AB-2840", "TCGA-AB-2841", "TCGA-AB-2842",
"TCGA-AB-2844", "TCGA-AB-2845", "TCGA-AB-2846", "TCGA-AB-2847",
"TCGA-AB-2849", "TCGA-AB-2851", "TCGA-AB-2853", "TCGA-AB-2856",
"TCGA-AB-2858", "TCGA-AB-2859", "TCGA-AB-2861", "TCGA-AB-2862",
"TCGA-AB-2863", "TCGA-AB-2865", "TCGA-AB-2866", "TCGA-AB-2867",
"TCGA-AB-2869", "TCGA-AB-2870", "TCGA-AB-2871", "TCGA-AB-2872",
"TCGA-AB-2873", "TCGA-AB-2874", "TCGA-AB-2875", "TCGA-AB-2876",
"TCGA-AB-2877", "TCGA-AB-2878", "TCGA-AB-2880", "TCGA-AB-2881",
"TCGA-AB-2882", "TCGA-AB-2883", "TCGA-AB-2884", "TCGA-AB-2885",
"TCGA-AB-2886", "TCGA-AB-2888", "TCGA-AB-2889", "TCGA-AB-2890",
"TCGA-AB-2891", "TCGA-AB-2892", "TCGA-AB-2893", "TCGA-AB-2894",
"TCGA-AB-2895", "TCGA-AB-2896", "TCGA-AB-2897", "TCGA-AB-2898",
"TCGA-AB-2899", "TCGA-AB-2900", "TCGA-AB-2901", "TCGA-AB-2908",
"TCGA-AB-2910", "TCGA-AB-2911", "TCGA-AB-2912", "TCGA-AB-2913",
"TCGA-AB-2914", "TCGA-AB-2915", "TCGA-AB-2916", "TCGA-AB-2917",
"TCGA-AB-2918", "TCGA-AB-2919", "TCGA-AB-2920", "TCGA-AB-2921",
"TCGA-AB-2924", "TCGA-AB-2925", "TCGA-AB-2927", "TCGA-AB-2928",
"TCGA-AB-2929", "TCGA-AB-2930", "TCGA-AB-2931", "TCGA-AB-2932",
"TCGA-AB-2933", "TCGA-AB-2934", "TCGA-AB-2935", "TCGA-AB-2936",
"TCGA-AB-2937", "TCGA-AB-2939", "TCGA-AB-2940", "TCGA-AB-2942",
"TCGA-AB-2943", "TCGA-AB-2944", "TCGA-AB-2946", "TCGA-AB-2948",
"TCGA-AB-2949", "TCGA-AB-2950", "TCGA-AB-2952", "TCGA-AB-2955",
"TCGA-AB-2956", "TCGA-AB-2959", "TCGA-AB-2963", "TCGA-AB-2965",
"TCGA-AB-2966", "TCGA-AB-2970", "TCGA-AB-2971", "TCGA-AB-2973",
"TCGA-AB-2975", "TCGA-AB-2976", "TCGA-AB-2977", "TCGA-AB-2979",
"TCGA-AB-2980", "TCGA-AB-2981", "TCGA-AB-2982", "TCGA-AB-2983",
"TCGA-AB-2984", "TCGA-AB-2986", "TCGA-AB-2987", "TCGA-AB-2988",
"TCGA-AB-2990", "TCGA-AB-2991", "TCGA-AB-2992", "TCGA-AB-2994",
"TCGA-AB-2995", "TCGA-AB-2996", "TCGA-AB-2998", "TCGA-AB-2999",
"TCGA-AB-3000", "TCGA-AB-3001", "TCGA-AB-3002", "TCGA-AB-3007",
"TCGA-AB-3008", "TCGA-AB-3009", "TCGA-AB-3011", "TCGA-AB-3012"
), class = "factor"), FAB = structure(c(5L, 1L, 5L, 3L, 2L, 4L
), .Label = c("M0", "M1", "M2", "M3", "M4", "M5"), class = "factor")), row.names = c(NA,
6L), class = "data.frame")
table(a)
#> a
#> 68 72 82 83 88 91
#> 1 1 1 1 1 1
deframe(b)
#> TCGA-AB-2856 TCGA-AB-2849 TCGA-AB-2971 TCGA-AB-2930 TCGA-AB-2891 TCGA-AB-2872
#> M4 M0 M4 M2 M1 M3
#> Levels: M0 M1 M2 M3 M4 M5
Created on 2022-06-29 by the reprex package (v2.0.1)由reprex 包于 2022-06-29 创建 (v2.0.1)
Or maybe this?或者也许这个？
library(tidyverse)
a %>%
rownames_to_column("patient") %>%
left_join(b)
#> Joining, by = "patient"
#> patient Blast_Percentage FAB
#> 1 TCGA-AB-2856 82 M4
#> 2 TCGA-AB-2849 83 M0
#> 3 TCGA-AB-2971 91 M4
#> 4 TCGA-AB-2930 72 M2
#> 5 TCGA-AB-2891 68 M1
#> 6 TCGA-AB-2872 88 M3
Created on 2022-06-29 by the reprex package (v2.0.1)由reprex 包于 2022-06-29 创建 (v2.0.1)
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