Age,Female,Male 0~10,5,6 11~20,15,14 21~30,20,22 31~40,25,24 41~50,25,28 51~60,30,26 61~70,20,18 71~80,15,16 81~90,10,12
Select option:
This one you selected:Pyramid
0. Wright Map
01.Tam Rasch
A Dichotomous simulated data
A Multitomous simulated data
A Rasch JMLE for RSM
Rasch MCMC estimation in R
***RSM/PCM estimation in R
Rasch using TAM
MML dicho-Wright Map with TAM
JML poly-Group:Rasch Wright Map with TAM
Rasch KIDMAP
Rasch Continuous Scale
1.Rasch model_ICC
2.Rasch model_WrightMap
3.Rasch MML model
4.2PLIRT
5.Rasch DIF
6.IRTLord DIF
7.AndersenLRTest
8.Rasch ML
9.Rasch MAPEAP
10.RaschAdersonLRtest
11.RaschAdersonLR
12.RaschRSMWrightMap
13.Raschprepost2GLPCM
B1.SEM x to y
B2.SEM Simple
B3.SEM Group
B4.SEM two laents
B5.SEM add prediction
B6.SEM with groups
B7.SEM2 with groups
B8 .SEM2 modindices
B9 .SEM3 with groups
BA .SEM4 monochrome with groups
BB .SEM5 anti-high pression with groups
BC .EFA decathlon in 2021 Tokyo 21 players
BD .SEM decathlon in 2021 Tokyo 21 players
BE. From t(data)
BE2. EFA for From t(data)
14.ChordDiagram
14B. From chorddiagram to cluster Network
15.Circlebarplot
15A. Circular barplots
16A. Donut plot
15B. Circle Heat Map
15C.Blue Circle Heat Map
16.Circle Stacked Bar Plot
34.Circle Packing
341.Bar Chart
342. Simple BarChart
34A.Box plot
161.Venn Diagramthen
162.Venn Diagramthen2
342.Lollipop Chart
343.Lollipop with terms
37.Sankey
@@@ Napoleon's Russian campaign 1812
*** 37a.Text code for SankeyMatic
***38.Sankey2
***Relation Dataset For Sankey
39. Network diagram
40. Via pajek to Network
46. Via metrix to Network
47. Network dendro2
48. Clusters by dendrogram
50. Circular Dendrogram
51. Heatmap33
52. Heatmap34(dendrogram)
53. Factor analysis
54. Cluster analysis for items
55. Cluster analysis for persons
56. Distance analysis for rows
57. Distance analysis for columns
410. Euclidean dendrogram0
41. Euclidean dendrogram
49. Euclidean dendrogram2
12.Table used
15.Forest Plot
16.Forest Plot(NMA)
17.Forest Plot(NMA for each)
15A.Forest Plot(easy)
16.MetaSMD
17.MetaRR
18.MetaOR
35.Meta correlation
19.MetaFunne
1. Network chart(FLCA)
16A Smoking cessation rates(example)
2A.above data trasformed using pairwise()
2.NetworkMa Summary Frequent(Odds A)
32.NetworkMa MCMC Bayesian(LogOdds B)
33.NetworkMa MCMC-Bayes(Odds Fixed) NMA2024AF
34.NetworkMa MCMC Bayes(Odds Random) NMA2024AFr
33.na.NetworkMa MCMC-Bayes(Odds Fixed) NMA2024AF
34.na.NetworkMa MCMC Bayes(Odds Random) NMA2024AFr
**.NetworkMa MCMC Bayes(contin.Fixed)
**.NetworkMa MCMC Bayes(contin.Random)
3.NetworkMa MCMC Bayesian(SMD)
4. Consistency test(SMD)
4. Consistency test(SMD2)
A1.NetworkMA plot(Frequentist )
A2.NetworkMA MCMC Bayesian(Odds) NetworkMetaAC
A3.NetworkMa Frequentist(Odds plot)
A4.Fixed/Random Effect using R-nemeta(Frequentist)
A4*. To examine the wrong in A4(Log Odds)
A4*. To examine the wrong in A4(Odds)
A5.NetworkMA RadomForest(Frequentist)
A6.Forest plot(Oddes)
to predict Apha & Beta in Beta distribution
Bibliometrix.org/home/
BX1.Descriptive analytics
22.Save long form data
BX2.Co-citation(Article (References))
BX3.Co-citation(Journal (Source))
BX4.Historiograph - Direct citation linkages
BX5.Co-word via keyword
BX6.Co-word via Corresponce
BX7.Thematic Map
BX8.Author collaboration
BX8.Unit collaboration
BX9.Country collaboration
BX10.Keyword Co-word
BX11.Lotka Law
BX12.Top-Authors annually
BX13.Coupling
No cluster in network
Taipei MRT system
2 columns with Leader & Folower using FLCA
@@@ csv for FLCA to 6 columns
***FLCA type.Highlight 3 clusters
Propagation.Highlight 2 clusters
Betweenness.Highlight clusters
cluster_fast_greedy.Highlight clusters
cluster_infomap.Highlight clusters
cluster_leading_eigen.Highlight clusters
cluster_louvain.Highlight clusters
cluster_optimal.Highlight clusters
cluster_spinglass(network)
cluster_walktrap(network)
components(network)
TO kwnow FLCA in R (network)
1.0 Top 10 keywords extracted in CSV
@@@1.1 Alluvial Trend
1.12 Stacked Alluvial Trend
1. 2-axes IP with 1st Diff cumulative
2.1. Boxplot for one variable
2. HotSpot(CiteSpace)
H18. Add value to Heatmap by vertex and years
P46.D7:To gain dataframe of HotSpot(CiteSpace)
P48.Eg. Combined HotSpot & Heatmap
Z41.Multiply Line Chart
Z42.Multiply Line Chart with IP
D34(Layout).4-Quadrant Thematic Map
D35(Layout).Kano diagram for Thematic Map
D39(Sankey).row...Sankey Blocks
37.Sankey(Sankey).column.no link in cluster
D40(Saneky)ER example
D39(Sankey).column..Sankeymatic
D43(Alluvial).Dual-map view
D431(Alluvial).Dual-map view2(Pyramid)
433(Alluvial by survival case on the Titanic
D331.Time Line View
P49.PDF for Chinese characters in R
P49B PDF to extract text
3. 4Q radar trend in R
D4. Chord plot by row with corr
D5. Chord plot by column with corr
D12. 4-Quadrant Radar Plot in R
@@@ Radar plot for Dr. Ho RP & FP
D13. 4-Scatters Plots in R
D14.95%CI 4-Scatters Plots in R
D15.Pyramid Plot
D15.Multi-Line Bar2 Chart
D21.Author Collaborations with Network
D22 D2:*Chord(cluster & few links) to #14
D23.D3:*Dendrogram to #47
D24.CircleBar. to #15 CircleBar
D25.*CirclePacking. to #34 CirclePacking
D26.*HeatDendro. to #52 HeatDendro
D211.3-column to 6 then Layout Selected
D27(Layout). Common Network cluster
***D28(Layout). Spread down by cluster
D29(Layout). Grid by cluster
D2B(Layout). layout_as_star
D2C(Layout). c(1, vcount(network):2)
D30(Layout). Circle by cluster
D31(Layout).DenddroPlot by cluster
FLCA type.Highlight 3 clusters
D33(Layout).horizontal Cluster View
D332.Time Zone View
Hightlight.4-Quadrant Thematic Map
D35A @@@ Simple Kano Diagarm
D35A95CI @@@ Simple Kano Diagarm
D36(Layout).Unique Thematic Map for Keyword Cluster Head
D37(Layout).Dual Map View
D38(Layout).all Dual Map View
D38(Layout).all Sankey View
D39(Sankey)....Sankey Blocks
01.2 Circular packing including clusters
02.3 Circular packing separating clusters
03.... Circular packing 3 layers
04.... Circular packing 4 layers
05 Donut tree
S32. Timeline View for Theme with links
S33.CIDA Focus by Theme
P41.TimeZone View(Themes)
P42.95%CI Control lines
P43. Spline 95%CI Control lines in R
P44.Linear 95%CI Control lines in R
P45.Density Heatmap with counts by x, y
P45.Loess 95%CI Control lines in R
p.45 Trend with 95%CI in R
H16. Ridgeline distribution of counts over yrs
H17. Ridgeline distribution of counts over yrs
H18. Ridgeline distribution of counts over yrs
H181. Ridgelin one color of counts over yrs
H19. violine scatter spots over values
H21. violin no scatter spots over values
H25. True violin over values
H22. Box plot burst spots over yrs
H23. Points-errorbars over yrs
P47.Eg. Combined HotSpot & Ridge
H17. Heatmap by vertex and years
P51. Impact bar plot by year or by theme
H02.A Choropleth map
H04.B World map with Bubbles
H05.C World map with Bubbles and curves
92. Scale fill gradient
25.Pyramid
41.Pyramid2
42.Pyramid3
43.Pyramid6
26..Survial analysis
27.Two mode Relation
28.Radar Plot
281.Radar Plot_1
29.Bibar line chart
30.Stack Bar chart
31.Multi-Line chart
32.Multi-Line Bar Chart
33.Multi-Line Bar2 Chart
36.Wordcloud
43.Wordcloud2
432.Wordcloud3
44.Spider plot
45.Plot for Two Way Anova
Kendall Coefficient of Concordance (W)
101.RS1.Rstatistics
102.Compute effect size
103.Logistic Regression
105.LR for prostate cancer
106.Prob. with sapply(in, function)
107.Metropolis-Hastings MCMC in R
108.Metropolis-Hastings MCMC in R
Fligner-Killeen Tess
Calculate IQR 1st & 3nd quartiles
API for Names to Nationality
Chien. Biliometrics in Pubmed
https://bibliometric.com/
Guideline in Visualizations
EG2 Social network analysis(MP4)
EG31 matrix to Network to R
EG32 Transforming matrix to #59A
Start[here]. 2-column(couple) data
Start[here]2. 2-column(couple) Excluding ego-self
60A7A.D1:3-column to 6-column data
EEEEE: 3-column to 6-column(main)
60A7B.D1:3 to 4 for Network in SNA
***60A7C.D1:6 to 4 for Network in SNA
60A7B1.D1:4 to Network for SNA
Hit:Notice of the Google Maps
40. D1: Network chart(example)
40A.D1: To gain Pajek format(.paj)
Hit: Drawbacks above(many link, no cluster)
59 D2:Random cluster with size #46
59A D2:Enhancement: cluster then to #46
59B D2: No cluster to #14 Chord
60A1 D2: Cluster to #14 Chord
60A3 D2:*Chord(cluster & few links) to #14
60A31.D3:*Dendrogram to #47
80A31.D7:HotSpot(CiteSpace)
60A4.*CircleBar. to #15 CircleBar
60A5.*CirclePacking. to #34 CirclePacking
60A6.D4:*HeatDendro. to #52 HeatDendro
60A7.D55:*Network: next to #46
60A7.D5:*Network: next to #40A
Hit: To Pajek by 60A7 then to 40A
Hit: Coordinate in Pajek & Google Maps
60A9.D6:Google Maps(Pajek in 40A)
60A8: *Details about cluster process
60A88: *Details without self connections
60A7A.D5:Data from 60A8 to pajek for Google Maps
60AA2.D5:nodes & relations in Network
60AA3.D5:nodes & relations Group in Network Group Network網路
60AA1.D5:3-column data to Pajek for Google Maps
60AA3.D5:Pajek data to EdgebundleR**Network
60AA.D7:Google Maps(from #60A7A:clustering)
62A. Solving k in CLC algorithm
End.D7: Exercise and submission
EG01. Loop to MeSH terms or Keywords #59A
EG012. Excluding self to MeSH terms or Keywords #59A
BTW01. Betweenness SNA
BTW02. Betweenness chord
FG2. Two mode data for keywords on chord
FG2A. Two mode data for keywords on Heatmap
FG2B. Two mode data for *Details about cluster process
FG2C. Two mode data for Box Plot
FG2D. ***:Two mode data of year in columns
IBPA1. Impact bar plot by year or by theme
IBPA2. Impact bar plot by year with links
KW01 Article related to keyword analysis
KW02 Forest plot
H01.A blank world map
Heatmap.A Choropleth map
Heatmap.B Choropleth map
US Map(choropleth)
China Map(choropleth)
Taiwan Map(choropleth)
H03. Bar Chart by stacked year
H04. Line Chart by year
H04.@@@ Line Chart by year
H05. Scatter Chart by year
H06. World Map with Edges
Ex. Combine H02 & H06
0.Simple example
1.Age example
2.Birthday example
3.Souvenir example
4.Smoth data example
5.Decompose:seasonal, trend and irregular component
6.Seasonally adjusting
7.Forecases
8. Inflection points on trend
9. IP with 1st Diff cumulative
GDP for nations
Bar animation
Box plot anaimation
Line animation
Multipy GDP for nations
GDP world top 10 bar chart
Taiwan health data annually
Combined images with layers
Animation images
1177design series
1177design with background
1177design with fade-in fade-out
1177design with composite 2 images
1177design with annotation on images
1177design add image in position
Image to text (OCR)
Convert Png to tif files
Extract PDF pages
Extract & Combine them into an single PDF
MCMC norm distribution(exclude lower 100)
MCMC CMC Machine Learning on Metropolis-Hastings
Spatial Statistics
Naive Bayes Classification
CNN model
ANN model
Logistic model
randomForest model
Gradient Boosting Machines
Decision Tree
KNN model
SVM model
Linear Discriminant Analysis (LDA)
Compute PI
ICC intraclass efficient
1.Vacano plot Rasch
2 Vacano plot without Fit regression
3 Vacano plot with Fit regression
4 GEO Differential Gene Analysis
5 GEO Differential Gene Analysis
6A Simple Heatmap GEO
6B Heatmap GEO 2024 Chinese
6C Heatmap GEO 2024 Chinese
6C Heat Map for GEO Differential Gene Analysis
7 Heat Map for GEO Differential Gene Analysis
8 WGCNA Identifies Key Modules
9 KEGG pathway enrichment dot plot
10 Network vital in center
11 Check Genes involved in GEO
12Check Two GSE identical
13 Check GSE with Genes
14 GEO2R GSE79973
14A GEO item kmean Cluster
14B GEO Feature Heatmap
14C GEO Feature FLCA
14D GEO Sample FLCA
15 Vacano GSE79973
16 Density for health & abnormal
17 ROC Density for GSE79973
18 ROC Density for GSE6919
21 GEOs saved for FLCA
22A GEO Simulated Data
22B GEO Probe from GSE or data in Chinese2024 Entrance
22C GEO gene from probe GSE79973
22D Chord for cluster analysis
0. ChatGPT with Prompts to R
00. PDF: Instruction to R platform
10Steps in Excel for WoS
00@@@ MP4 How to extract WoS data in Excel
zip: Data Munging from WoS in Excel
Guidelines for Bibliometrics
@@@SankeyNetwork for Bibliometrics
to cbpabc
to cbpsankey
to cbpgeo
====Begin to start==========
1.3-column to clusters
2. Google Map in R(dashboard)
21.4-Quadrant Plot on internet
3.Temporal Bar Chart
4 Trend for Temporal Bar Chart
4-1.Table Temporal Bar Chart with trend
4-2.Table Trend & Cluster Temporal Bar Chart with trend
5 Trend & Cluster for Temporal Bar Chart
====Similarity By Distance ==========
6. By Distance Cluster analysis for persons
7.By Distance Cluster for items
6A. Slope By Distance for items
6-2.Bar Chart Distance for items
7A.@@@ Slope By Distance for persons
7B.Bar Chart By Distance for persons
====Similarity By correlation==========
8. By corr. Cluster analysis for items
9.By corr. Cluster analysis for persons
8A. corr. Slope Graph for items
@@@9A.corr.Slope Graph for persons
@@@9ABC.Corr & Dist.Slope Graph for persons
9AB.Outfit corr.Slope Graph for persons
8B. corr. Bar Chart for items
9B. corr.Bar Chart for persons
====Input with Table format below==========
10.Table input useful for the dataframe
11.(Slope Graph) Table used for practice
12.Polar Area Chart
13. Calendar Heatmap
14.Stream graph
15. Water Fall plot
16. Alluvial diagram
17.Circular Barplot
18. Sankey Diagram
19.Tree Map(proportion)
20. Sunburst chart
21. Scree plot with eigenvalues
22. Youden Plot
23. Correlation matrix plot
24. Heat Map
25. Ridgeline Plot with group
26.Density Plot with Gradient Fill
27. Box plot with group
28. Scatter Plot with Regression Line by x, y
29.95%CI 4-Scatters Plots in R
30. 4-Scatters Plots in R
31. 4-Quadrant Radar Plot in R
32. Ridgeline distribution of counts over yrs
33. Ridgeline distribution of counts over yrs
34. Ridgeline distribution of counts over yrs
35. violine scatter spots over values
36. Ridgelin one color of counts over yrs
37. violin no scatter spots over values
38. True violin over values
39. Box plot burst spots over yrs
40. Points-errorbars over yrs
41. Calendar Heatmap
***42. Slope graph: Timeline view of spaces BW elements
***(corr)Bubble timeline plot TN n TC
@@@(Theme)Bubble timeline plot TN n TC
***(corr)Slope Graph TP n TC
@@@Temporal Burst Bar Plot
43. Slope graph: Hotspots for Timeline view of spaces BW elements
43-1.Slope graph: Cluster Hotspots for Timeline view of spaces BW elements
2 point slope graph
44. Data Distribution of Box plot
45. Data Distribution of Z-score
46. Two time point comparison
47. Diverging Lollipop Chart
47A. Item Difficulty
48. Above Average plot
49. Correlogram correlation
50.Two dendrograms in comparison
====Bibliometrics==========
R platform for Bibliometrics
51. Dual-map overlay(Biblio)
51A. Dual-map overlay(Pyramid)
51A.Two Axes for Articles
@@@51a Two Axes Article & Citation
51B.Performance Analysis
51C.Point Chart for lowest $ highest
51D.Flow chart via DiagrammeR
52.Time Line View(bibliometric)
53.TimeZone View(Themes)(bibliometric)
54.Time Zone View(bibliometric)
55.(Alluvial by survival case on the Titanic
56.(Alluvial).Dual-map view
57.(Saneky)ER example
58.Sankey(Sankey).column.no link in cluster
59.No cluster in network
60. Taipei MRT system
61. 2 columns with Leader & Folower using FLCA
62. FLCA type.Highlight 3 clusters
@@@63. Alluvial Trend by time
63-1. Alluvial Trend with IP by time
63-2. Stacked Alluvial Trend with IP by time
63-3. Stacked Area Chart with Trend and IP by time
63-4. Grouped Barchart by column
63-5. Stacked Grouped Barchart by column
63-6. Stacked Grouped Barchart by row
63-7. Percentage Stacked Grouped Barchart by row
64. Stacked Alluvial Trend by time
65. 2-axes IP with 1st Diff cumulative
652 Search IP and Trend Type in csv File
66.Multiply Line Chart with IP
@@@66A. (Pre/Post tests)Line Chart with values
66B. (Pre/Post tests)Slope Plot with values
67..Multiply Line Chart
68. HotSpot(CiteSpace)
69.@@@ Add value to Heatmap by vertex and years
70. Boxplot for one variable
71.(Layout).4-Quadrant Thematic Map
72.(Layout).Kano diagram for Thematic Map
73. (Sankey).column. sankeymatic.com/
74.Taiwan Map(choropleth)
75. GDP world top 10 bar chart
76. China Map(choropleth)
77. US Map(choropleth)
@@@Lowere:.Green choropleth Map
78B. World Choropleth map
79. World Map with Edges
80. Combine H02world & H06edge
@@@Upper: Worldmap for country collaborations
@@@Lowere: Combined Green Worldmap Choropleth
====Common statistical Visuals==========
81. Scatter Chart by year
***810 Top10 keywords Frequency
***theme Top10 keywords Frequency
811.Top10 value year trend line chart
812.Top10 value year scatter for Names
***813.Top10 value year scatter for Names
@@@ Top10 value year scatter plot
82. Pie Chart
82.1Waffle Chart
83. Multi-Line Bar2 Chart
84.Multi-Line chart
85.Bibar line chart
86.Single-Radar Plot_1
87.Multi-Radar Plot
88.Two mode Relation(single to multi pair)
89.Survial analysis
90. Stacked bar Pyramid
91.Pyramid(Simple)
91A.Read Table for dataframe
92. Kendall (W) judge in rows
921. Kendall (W) judge in cplumn
93.Plot for Two Way Anova
941.Wordcloud3
94.Wordcloud2
95.Wordcloud
96.CircleBar. to #15 CircleBar
97.*Chord(cluster & few links) to #14
98.*Dendrogram to #47
99.*Circular Packing fom Nested Data Frame
100..*HeatDendro. to #52 HeatDendro
101. Wright Map
102.Rasch MCMC estimation in R
====Rasch analysis==========
103.MML dicho-Wright Map with TAM
104.JML poly-Group:Rasch Wright Map with TAM
105.Rasch KIDMAP
106.Rasch model_ICC
107.Rasch model_WrightMap
108.Rasch MML model
109.Rasch DIF
110.IRTLord DIF
111.AndersenLRTest
112.Rasch MAPEAP
113.RaschAdersonLRtest
114.RaschRSMWrightMap
====Amazing Visuals==========
115.ChordDiagram
116.Circlebarplot
117. Circular barplots
118. Donut plot
119. Circle Heat Map
120.Blue Circle Heat Map
121.Circle Stacked Bar Plot
122.Bar Chart horizontally
123. Bar Chart vertically
124. Box plot
125.Venn Diagramthen
126.Lollipop Chart
127.Lollipop with terms
371 Line Chart For Salary
372 Dot Chart For Salary
373 IRT parameter1
374 IRT parameter2
375 IRT model with c Da
37b.Primary Edge Linked only
@@@Leader on relation DDI for Drug-drug-interaction
Above FLCA for directed arrow DDI
@@@ Chord diagram Above FLCA
edge for leader by value with count on Sankey
@@@ Leader on count DDI for Drug-drug-interaction
Wide To Longer DataSet
***Relation Data To 6 columns
***128.Sankey2
====Network & Cluster analysis==========
129. Via metrix to Network
130. Network dendro2
131. Clusters by dendrogram
132. Dendrogram Tree
133. Dendrogram Circle
134. Heatmap33
135. Heatmap34(dendrogram)
136. Euclidean dendrogram
137. Euclidean dendrogram2
====Meta analysis==========
138.Forest Plot
139.Forest Plot(NMA)
140.Forest Plot(NMA for each)
141.Forest Plot(easy)
142.MetaSMD
143.MetaRR
144.MetaOR
145.MetaFunnel
====Other visuals==========
146.Decision Tree
147 Gradient Boosting Machines
148. ANN model
149.Circle Packing
150. Tree map
151. Tree map(subgroup)
152. Gantt Plot
153. Flow Chart
154. Infographics
155. Vocano plot
155A. Vocano plot
156. KEGG pathway enrichment plot
157. Protein-Protein interaction (PPI)
Rasch Continuous & RSM in Comparison
166. Change File Names In A wos Folder
@@@ Wide to long dataset for metrix in 3 columns
Skewness Coefficient
Logodds & probability
1st 2n deviation Logodds prob.
NLP keyword extraction in R
@@@OpenAlex keywords via API
Ask whether with API
Classify Article Type in WoS with R
@@@ 1 cowords to Sankey, Kano,& SilScore
@@@Distance Matrix Silhouette Scores in CiteSpace
Boostraping
Abstract from DOI
==輪廓分數==Silhouette Score==========
Silhouette Score and Other Metrics
Self_defined_SS_greatest in network
@@@Kano Count vs edges from country
===共字Kano Plot from country
===共字Top 20/n High as SS-Kano plot
@@@共現Silhouette Score from country
@@@時序Dist_TimeSeries Silhouette Scores in CiteSpace
ANOVA Silhouete Score
@@@Corr_TimeSeries Silhouette Scores in CiteSpace
@@@時序Basket Data Silhouette Scores in CiteSpace
GO board SilhouetteScore
Densitity edge count
===City country distance in world
Gender height weight Silhouette
College HighSchool Grades Silhouette
Simulation Silhouette
Silhoette New Baby
Cohesion:New Baby
BoxPlot New Baby
@@@New baby Growth Web
NewBaby API plot
Nurse Ratio API Simple
Comparison of Clstering Methods
===High as Top20/n as SS plot
@@@2 files for Silhouette n Count Plot
===Low as Top20 SS plot
@@@批次距離陣Distance Matrix from 2 datasets
Compute modularity Q
Physicians 6 in hospital