我需要帮助热图
我是第一次接触频率图表，我经常遇到问题。我需要创建一个热图，date在x轴上，crepus在y轴上。很好。
我想为color设置的变量为所有物种(speciesname)的频率，即变量nmb_individuals的所有物种的总和，显然是由date和crepus的值决定的。
当我尝试时，我得到一个完全空白的热图，尽管比例看起来不错:
our_data %>%
ggplot(aes(date,crepus,fill=nmb_individuals)) + geom_tile()
找到我的数据集的一小部分:
our_data <- structure(list(speciesname = c("Wood Lark", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "bunting sp.",
"Robin", "Blackbird", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Chaffinch", "Chaffinch",
"Chaffinch", "Chaffinch", "Cirl Bunting", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Redwing",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Chaffinch",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Blackbird", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Redwing", "Redwing", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Raven", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Skylark", "Blackbird", "Blackbird", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Chaffinch", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Blackbird", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Blackbird", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Redwing", "Chaffinch", "Song Thrush",
"Dunnock", "Dunnock", "Dunnock", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Dunnock", "Song Thrush",
"Song Thrush", "Song Thrush", "Chaffinch", "Blackbird", "Song Thrush",
"Redwing", "Song Thrush", "Song Thrush", "Song Thrush", "Skylark",
"Skylark", "Song Thrush", "Song Thrush", "Song Thrush", "Redwing",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Chaffinch", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Blackbird", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Redwing",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Blackbird", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Dunnock", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Redwing", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing"), date = structure(c(18556, 18556, 18556,
18556, 18557, 18557, 18557, 18557, 18558, 18558, 18558, 18558,
18558, 18558, 18558, 18558, 18558, 18558, 18558, 18558, 18558,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18560, 18560,
18560, 18560, 18560, 18560, 18560, 18560, 18560, 18560, 18560,
18560, 18560, 18560, 18560, 18562, 18562, 18562, 18562, 18562,
18562, 18562, 18563, 18563, 18563, 18563, 18563, 18563, 18563,
18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563,
18563, 18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564,
18564, 18564, 18564, 18564, 18564, 18564, 18564, 18559, 18559,
18559, 18559, 18559, 18559, 18558, 18558, 18558, 18558, 18558,
18558, 18558, 18558, 18558, 18558, 18558, 18558, 18560, 18560,
18560, 18560, 18560, 18560, 18560, 18560, 18561, 18561, 18561,
18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561,
18561, 18561, 18561, 18562, 18562, 18562, 18562, 18562, 18562,
18562, 18562, 18562, 18562, 18562, 18562, 18562, 18562, 18562,
18562, 18562, 18563, 18563, 18564, 18564, 18564, 18564, 18564,
18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564,
18564, 18564, 18564, 18564, 18564, 18564, 18556, 18558, 18558,
18558, 18558, 18558, 18558, 18558, 18558, 18559, 18559, 18559,
18559, 18559, 18562, 18562, 18562, 18563, 18563, 18563, 18564,
18564, 18564, 18564, 18564, 18557, 18558, 18558, 18558, 18558,
18558, 18558, 18558, 18559, 18559, 18559, 18559, 18559, 18560,
18560, 18560, 18560, 18561, 18561, 18561, 18561, 18562, 18562,
18562, 18562, 18562, 18563, 18563, 18563, 18563, 18563, 18563,
18563, 18563, 18564, 18564, 18564, 18556, 18556, 18556, 18556,
18557, 18558, 18558, 18558, 18558, 18558, 18558, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18560, 18560, 18560,
18560, 18560, 18560, 18560, 18560, 18560, 18561, 18561, 18561,
18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561,
18561, 18561, 18561, 18562, 18562, 18562, 18562, 18562, 18562,
18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563,
18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564
), class = "Date"), nmb_individuals = c(1L, 1L, 1L, 1L, 2L, 0L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 5L, 3L, 10L, 1L, 2L, 1L,
1L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 5L, 1L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 10L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 5L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L,
1L, 2L, 2L, 9L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 1L, 1L,
1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 1L, 10L,
1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 3L, 1L), crepus = c(0.974008207934337, 0.606019151846785,
0.993160054719562, 0.997264021887825, 0.987738419618529, 0.990463215258856,
0.991825613079019, 0.997275204359673, 0.99320652173913, 0.998641304347826,
0.99320652173913, 0.99320652173913, 0.994565217391304, 0.995923913043478,
0.997282608695652, 0.998641304347826, 0.989130434782609, 0.990489130434783,
0.994565217391304, 0.995923913043478, 0.99320652173913, 0.144458281444583,
0.175591531755915, 0.196762141967621, 0.198007471980075, 0.206724782067248,
0.209215442092154, 0.231631382316314, 0.239103362391034, 0.2640099626401,
0.273972602739726, 0.278953922789539, 0.288916562889166, 0.311332503113325,
0.328767123287671, 0.342465753424658, 0.36239103362391, 0.371108343711083,
0.378580323785803, 0.379825653798257, 0.386052303860523, 0.387297633872976,
0.398505603985056, 0.396014943960149, 0.407222914072229, 0.409713574097136,
0.413449564134496, 0.414694894146949, 0.205479452054795, 0.422166874221669,
0.419676214196762, 0.424657534246575, 0.427148194271482, 0.432129514321295,
0.433374844333749, 0.434620174346202, 0.442092154420922, 0.443337484433375,
0.452054794520548, 0.455790784557908, 0.463262764632628, 0.468244084682441,
0.470734744707347, 0.474470734744707, 0.481942714819427, 0.485678704856787,
0.489414694894147, 0.493150684931507, 0.420921544209215, 0.499377334993773,
0.520547945205479, 0.980074719800747, 0.457036114570361, 0.0844504021447721,
0.100536193029491, 0, 0.00536193029490617, 0.193029490616622,
0.24798927613941, 0.319034852546917, 0.420911528150134, 0.953083109919571,
0.978552278820375, 0.978552278820375, 0.981233243967828, 0.986595174262735,
0.987935656836461, 0.997319034852547, 0.127005347593583, 0.0922459893048128,
0.729946524064171, 0.556149732620321, 0.967914438502674, 0.983957219251337,
0.99331550802139, 0.98936170212766, 0.279255319148936, 0.333776595744681,
0.337765957446809, 0.396276595744681, 0.454787234042553, 0.51063829787234,
0.57313829787234, 0.651595744680851, 0.69813829787234, 0.933510638297872,
0.977393617021277, 0.982712765957447, 0.986702127659575, 0.00265957446808511,
0.320478723404255, 0.337765957446809, 0.202917771883289, 0.364721485411141,
0.36604774535809, 0.482758620689655, 0.485411140583555, 0.493368700265252,
0.502652519893899, 0.510610079575597, 0.523872679045093, 0.555702917771883,
0.653846153846154, 0.693633952254642, 0.805039787798409, 0.992042440318302,
0.00397877984084881, 0.771929824561403, 0.883940620782726, 0.885290148448043,
0.892037786774629, 0.902834008097166, 0.906882591093117, 0.815718157181572,
0.990514905149051, 0.991869918699187, 0.989159891598916, 0.0542005420054201,
0.838753387533875, 0.888888888888889, 0.894308943089431, 0.897018970189702,
0.905149051490515, 0.993224932249322, 0.990514905149051, 0.348586810228802,
0.363391655450875, 0.10228802153432, 0.422611036339166, 0.374158815612382,
0.386271870794078, 0.390309555854643, 0.426648721399731, 0.994638069705094,
0.894101876675603, 0.978552278820375, 0.207774798927614, 0.946380697050938,
0, 0.0134048257372654, 0.0790884718498659, 0.301608579088472,
0.592493297587131, 0.983914209115281, 0.985254691689008, 0.987935656836461,
0.989276139410188, 0.994638069705094, 0.990641711229946, 0.358288770053476,
0.364973262032086, 0.43716577540107, 0.46524064171123, 0.479946524064171,
0.487967914438503, 0.540106951871658, 0.574866310160428, 0.596256684491979,
0.606951871657754, 0.64572192513369, 0.885026737967914, 0.927807486631016,
0.957219251336898, 0.962566844919786, 0.977272727272727, 0.0944148936170213,
0.622340425531915, 0.0013262599469496, 0.00663129973474801, 0.431034482758621,
0.513262599469496, 0.53183023872679, 0.586206896551724, 0.588859416445623,
0.590185676392573, 0.610079575596817, 0.690981432360743, 0.714854111405836,
0.814323607427056, 0.872679045092838, 0.973474801061008, 0.990716180371353,
0.993368700265252, 0.996021220159151, 0.625994694960212, 0.880636604774536,
0.993368700265252, 0.998635743519782, 0.901084010840108, 0.915989159891599,
0.91869918699187, 0.575880758807588, 0.739837398373984, 0.761517615176152,
0.897018970189702, 0.913279132791328, 0.906882591093117, 0.804318488529015,
0.850202429149798, 0.910931174089069, 0.919028340080972, 0.989304812834225,
0.994652406417112, 0.994652406417112, 0.216755319148936, 0.264627659574468,
0.832446808510638, 0.590185676392573, 0.704244031830239, 0.720159151193634,
0.976127320954907, 0.981432360742706, 0.995918367346939, 0.159891598915989,
0.474254742547425, 0.982384823848238, 0.986449864498645, 0.997289972899729,
0.998644986449864, 0.998644986449864, 0.908232118758435, 0.909581646423752,
0.913630229419703, 0.916329284750337, 0.910931174089069, 0.109017496635262,
0.131897711978466, 0.995962314939435, 0.34185733512786, 0.998659517426273,
0.39142091152815, 0.977211796246649, 0.991957104557641, 0.983957219251337,
0.982620320855615, 0.987967914438503, 0.990641711229946, 0.970588235294118,
0.190159574468085, 0.202127659574468, 0.280585106382979, 0.359042553191489,
0.410904255319149, 0.69281914893617, 0.784574468085106, 0.992021276595745,
0.981432360742706, 0.986737400530504, 0.986737400530504, 0.980900409276944,
0.982264665757162, 0.987721691678035, 0.993178717598909, 0.99047619047619,
0.975609756097561, 0.98780487804878, 0.00948509485094851, 0.848238482384824,
0.952574525745257, 0.967479674796748, 0.913630229419703, 0.916329284750337,
0.52361673414305, 0.596491228070176, 0.631578947368421, 0.62753036437247,
0.658569500674764, 0.890688259109312, 0.878542510121457, 0.87719298245614,
0.870445344129555, 0.851551956815115, 0.816464237516869, 0.977058029689609,
0.98110661268556, 0.902834008097166, 0.913630229419703, 0.0969044414535666,
0.395693135935397, 0.707940780619112, 0.95693135935397, 0.969044414535666,
0.983849259757739, 0.986541049798116, 0.991924629878869, 0.995962314939435,
0.0804289544235925, 0.414209115281501, 0.481233243967828, 0.509383378016086,
0.560321715817694, 0.60053619302949, 0.719839142091153, 0.966487935656837,
0.975871313672922, 0.978552278820375, 0.981233243967828, 0.986595174262735,
0.989276139410188, 0.990616621983914, 0.99597855227882, 0.0053475935828877,
0.977272727272727, 0.982620320855615, 0.983957219251337, 0.99331550802139,
0.997326203208556, 0.155585106382979, 0.38563829787234, 0.646276595744681,
0.924202127659575, 0.941489361702128, 0.974734042553192, 0.981382978723404,
0.997340425531915, 0.518617021276596, 0.570291777188329, 0.749336870026525,
0.904509283819629, 0.956233421750663, 0.960212201591512, 0.96551724137931,
0.970822281167109, 0.985411140583554, 0.53448275862069)), row.names = c(NA,
-345L), class = c("tbl_df", "tbl", "data.frame"))
可能是这样的:
our_data %>%
ggplot(aes(date,crepus)) +
geom_tile(aes(fill= factor(nmb_individuals)), height = 0.1)
或不带因子:
our_data %>%
ggplot(aes(date,crepus)) +
geom_tile(aes(fill= nmb_individuals), height = 0.1)