오류 바가 있는 막대 그래프
JMP® 스크린샷 갤러리
이 스크린샷수집은 JMP 제품군의 각 제품에서 제공되는 기능 및 샘플을 공개합니다.
JMP - A collection of interactive learning modules help you learn and teach statistical concepts. One of the available Interactive Learning Tools.
신뢰구간 학습 모듈
JMP - Create a variety of control charts for continuous or attribute data, and conduct a capability analysis, using the Control Chart platform.
컨트롤 차트 및 프로세스 기능
Customize summary statistics in the Distribution platform to display the statistic you’re looking for.
요약 통계 사용자 지정
The Partition platform provides interactive classification and regression trees.
데이터 마이닝 - 분류 트리 (파티션)
The DOE menu provides a wide variety of experimental designs, including full factorial, screening, response surface, split plot and custom designs.
Analyze industrial experiments, view interactions and optimize with the Fit Model analysis platform.
실험계획법(DOE) – 반응 표면
Calculate and display probabilities and percentiles for a variety of distributions. One of the available Interactive Learning Tools.
분포 및 확률 계산기
The Excel Import Wizard allows you to get an analysis-ready JMP table from your Excel workbooks in just a few steps.
엑셀 가져오기 마법사
Perform factor analysis with Principal Components or Maximum Likelihood and multiple rotation methods.
The Nonlinear platform can fit curved data without the need to pre-impute a formula or starting values. Simply select from one of the models in a rich library, which includes popular bioassay or pharmacokinetic models, and data is fit automatically.
핏 곡선 (비선형 플랫폼)
Use the reliability Fit Life Distribution platform to fit and compare a variety of distributions.
Create interactive histograms and display customizable summary statistics using the Distribution platform.
히스토그램 및 요약 통계
Send data to MATLAB, execute code and return data to JMP for visualization and analysis. The interface lets JMP seamlessly integrate with MATLAB to extend JMP further for even greater analytic power and flexibility.
The Measurements Systems Analysis (MSA) platform provides an all-in-one method for assessing the variation in your measurement system and gauges.
측정 시스템 분석 (MSA)
Use Fit Y by X for ANOVA and multiple comparison procedures, such as Tukey HSD.
일방 ANOVA 및 Tukey HSD
The Prediction Profiler is ideal for model exploration, optimization and Monte Carlo simulations.
최적화 및 몬테카를로 시뮬레이션
Explore variation explained by each principal component using the Principal Components platform.
Run R code from JMP. Download Multidimensional Scaling, and other R add-ins, from jmp.com/addins.
JMP에서 R 코드 실행
Easily save your work and create custom applications using the JMP Scripting Language (JSL).
Choose the Stepwise personality in Fit Model for stepwise regression, all possible models, and model averaging.
Analyze complex surveys with complete control of question structures, report presentation and statistical tests performed.
설문 조사 분석
Transform variables in a single click in any platform launcher, in the data table, in Graph Builder and through JSL.
The advanced neural network capabilities in JMP Pro include the choice of three activation functions and two layers, a choice of validation methods, as well as gradient boosting.
고급 신경 모델링
Advanced features for partial least squares (PLS) regression in the Fit Model platform. Model effects can include categorical factors, as well as crossed and polynomial terms.
고급 부분 최소 자승 (PLS)
Build cross-validated boosted decision-tree models, which build many simple trees, repeatedly fitting any residual variation from one tree to the next.
부스트 된 트리
The bootstrap forest technique grows dozens of decision trees using random subsets of the available data and then averages the computed influence of each factor in these trees.
부트 스트랩 포리스트
Stepwise regression includes the option of stopping rules based on cross-validation.
교차 타당화된 단계별 회귀분석
JMP Pro includes advanced computational methods for performing exact measures of association and oneway nonparametric exact tests.
Use Generalized Regression in JMP Pro to build better predictive models despite data challenges.
Compare the effect of different architectures on a neural fit with boosting (left) and without (right).
경사 상승 신경 모델
Partial least squares (PLS) regression can impute missing data before fitting.
부분 최소 자승 (PLS) 회귀에 대한 누락 값 대체
Bootstrap any statistic in a JMP report with a single click. This example shows bootstrapping confidence limits around a 10th percentile quantile.
Use the Reliability Block Diagram for complex system design and to locate and address weaknesses in the system.
신뢰성 블록 다이어그램
Uplift models identify the consumer segments most likely to respond favorably to an offer or treatment.
Easily split your data into training, validation and test portions for honest assessment of a model’s predictive ability.
교차 유효성 검사를 위한 유효성 검사 역할
Use variable clustering for quick and easy dimension reduction to make your prediction problems easier to solve.
Severity analysis of adverse events shows differences across treatment groups via dynamically linked graphs.
불리한 이벤트 분석
A simplified Starter menu helps users easily choose specific reports and analyses for dynamic visual exploration.
From one-way plots, select subjects of interest and drill down again to patient profiles.
환자 프로필 드릴 다운
A Hierarchical Cluster report with two-way clustering identifies relationships between individual subjects and the events, findings and interventions included in the safety analyses for the study.
A two-dimensional hierarchical cluster shows relationships between selected events, findings or observations.
Zoom in to select subjects in the Hy’s Law region. Drill down on selected subjects to see patient profiles or subject clusters.
HY 법칙 부분
The default view for the JMP Clinical bubble plot is a representation of Hy’s Law analysis, showing changes across treatment groups over time for any lab.
버블 플롯을 이용한 HY 법칙 분석
The industry-standard Hy’s Law display in JMP Clinical is interactive for selection of subjects. A dashboard containing a scatterplot matrix of transaminases and bilirubin; mosaic plot of days until bilirubin elevation and missing lab tests report tab.
HY 법칙 대시보드
The mapping feature in Graph Builder lets you choose any variable for geographic display.
그래프 빌더로 매핑
A new medical monitors dashboard in JMP Clinical 4 displays frequency and count information for adverse events.
의료용 모니터 대시보드
Use Graph Builder’s Mosaic Plot to compare adverse events, here from the vascular body system, by sex across treatment groups.
Use the zoom tool in JMP Clinical to magnify clusters of interest, and then run a partial correlation analysis on any items in the cluster.
부분 상관 클러스터 분석
A patient profile dashboard allowing configuration of clinical information, notes for reviewers and printing to PDF documents.
In this bubble plot, time windows show the change in significance and relative risk for all adverse events and concomitant medications for each day of the trial.
위험 버블 플롯
From the volcano plot, drill down to a relative risk plot to sort easily by count, relative risk, significance or dictionary-derived terms.
From the severity analysis, select significant adverse events and drill down to the subject level with one-way plots.
From the volcano plot, a Venn diagram helps identify co-occurring adverse events for subjects in the study. Then select subjects for clustering or profiling.
Use paired RNA expression and DNA hybridization data to screen for indications of allele-specific expression with the new Allele Specific Expression Filter process. Examine a summary volcano plot, then drill down to display detailed information for specific SNPs.
대립유전자 특정 표현 필터 프로세스
Overlay continuous variables such as p-values, intensities, counts or fold changes on simple and complex genomes to identify interesting regions, then drill down to view detailed statistical results and tracks.
JMP Genomics 5 offers enhanced flexibility for movement of dendrograms and labels in cluster heat plots.
클러스터 히트 플롯
Significant enhancements to copy number partitioning let users display segment means, shade segments relative to a referencevalue, and filter results to display segmentsthat meet a pre-specified cutoff.
복사 번호 분할
New segmentation summary plots can be filtered interactively to identify shared regions of copy number loss or gain.
복사 번호 분할
Overlay continuous variables such as p-values, intensities, counts or fold changes on simple and complex genomes, with the option to display single chromosomes as circular. Identify interesting regions, then drill down to view detailed results and tracks.
단일 염색체를 단수로 표시
Examine individual variations in copy number (left and upper right) or guide your search for shared regions with summary plots (lower right).
복사 번호 변형 검사
Create, compress, and incorporate genetic distance matrices into association tests that simultaneously correct for relatedness and population structure. Distance matrices may also be created to display relationships between continuous measures, or custom distance matrices clustered and visualized.
유전 거리 행렬
Analyze mRNA-seq data to find interesting patterns of differential expression with interactive volcano plot.
대화식 화산 플롯
The customizable JMP Genomics Starter window, new in version 5, makes it easy for new and existing users to access tools appropriate to their analysis areas.
JMP Genomics 스타터 창
Scale count data across samples using TMM normalization, compare TMM factors between samples, and view kernel density plots of normalized data.
TMM 정규화 후의 샘플 별 커널 밀도 MA 플롯
View p-values from statistical tests individually by chromosome, or create custom, multichromosome views.
Identify genomic regions that contain marker genotypes shared identical by state between related or unrelated individuals.
Screen for SNP pair interactions using flexible filters, and drill down to view plots that display the details of trait values and SNP genotypes.
SNP 쌍 상호 작용 스크린
Display summaries of your statistical analyses in genome context to identify interesting regions with pre-built settings for commonly used genomes, or by creating custom genome views. Then drill down to overlay gene, histogram, SNP and heat plot tracks on statistical results. Here, p-values across a genomic region are overlaid with co-localized genes and a histogram track that summarizes raw exon-level data for two samples of particular interest.
게놈 환경에서 통계 분석 요약
Interactive triangular plots let you calculate and visualize linkage disequilibrium measures, identify LD blocks and zoom into interesting regions.
Visualize shared patterns with multiway Venn diagrams. Overlay statistical findingsand annotation categories to drill down on the most important gene sets.
벤 다이어그램으로 공유된 패턴 시각화
Examine a summary volcano plot to identify pathways that are over- or under-represented in your significant gene list, using a variety of enrichment tests.
분산분석을 시각화하는 화산 플롯
A box plot and bar chart shown in edit mode. Multiple graphs can be displayed at the same time.
박스 플롯 및 사이드 바이 사이드 막대차트
Customize the look and feel of your graphs. Change graph properties, colors, line widths, marker sizes and more.Display contour plots and violin plots using the contour icon.
그래프 사용자 정의
Variables can be dragged and dropped to any of the drop zones to change parameters of the graph.
드래그 앤 드롭 변수
Drag one variable to the X or Y zone and use the histogram icon to create a histogram.
한 변수가있는 히스토그램
Add a Group X or Group Y variable to create separate graphs. Add a variety of available summary statistics.
요약 통계가있는 히스토그램
Import JMP data tables from iTunes or Dropbox, or any website, or open JMP data from an e-mail attachment.
JMP 데이터 가져오기
Build stacked bar charts, or a variety of other bar chart styles, with or without summary statistics.
Zoom into the values of individual points using the magnifier by tapping and holding the screen.
확대/축소하려면 길게 누르기
Use the Wrap zone to display graphs when there are several categories of a grouping variable.